Overview

Dataset statistics

Number of variables203
Number of observations73663
Missing cells207826
Missing cells (%)1.4%
Total size in memory114.6 MiB
Average record size in memory1.6 KiB

Variable types

Numeric200
Text1
Unsupported2

Alerts

V587 has constant value ""Constant
V607 has constant value ""Constant
V714 has constant value ""Constant
V715 has constant value ""Constant
V716 has constant value ""Constant
V750 has constant value ""Constant
V751 has constant value ""Constant
V752 has constant value ""Constant
E763 has 63539 (86.3%) missing valuesMissing
E766 has 71617 (97.2%) missing valuesMissing
E769 has 72670 (98.7%) missing valuesMissing
V572 is highly skewed (γ1 = 110.0396826)Skewed
V573 is highly skewed (γ1 = 171.7373006)Skewed
V574 is highly skewed (γ1 = 187.270388)Skewed
V575 is highly skewed (γ1 = 193.6446537)Skewed
V576 is highly skewed (γ1 = 194.0465617)Skewed
V577 is highly skewed (γ1 = 191.6652712)Skewed
V578 is highly skewed (γ1 = 192.1978135)Skewed
V579 is highly skewed (γ1 = 120.3239595)Skewed
V580 is highly skewed (γ1 = 220.5733929)Skewed
V581 is highly skewed (γ1 = 235.0153275)Skewed
V582 is highly skewed (γ1 = 213.8420478)Skewed
V583 is highly skewed (γ1 = 186.5200237)Skewed
V584 is highly skewed (γ1 = 184.6663657)Skewed
V585 is highly skewed (γ1 = 221.3317147)Skewed
V586 is highly skewed (γ1 = 271.409285)Skewed
V588 is highly skewed (γ1 = 271.409285)Skewed
V589 is highly skewed (γ1 = 221.3273416)Skewed
V590 is highly skewed (γ1 = 261.1788801)Skewed
V591 is highly skewed (γ1 = 271.409285)Skewed
V592 is highly skewed (γ1 = 240.0797749)Skewed
V593 is highly skewed (γ1 = 249.476621)Skewed
V594 is highly skewed (γ1 = 271.409285)Skewed
V595 is highly skewed (γ1 = 271.409285)Skewed
V596 is highly skewed (γ1 = 271.409285)Skewed
V597 is highly skewed (γ1 = 251.6885131)Skewed
V598 is highly skewed (γ1 = 178.1844959)Skewed
V599 is highly skewed (γ1 = 154.7664205)Skewed
V600 is highly skewed (γ1 = 259.2057055)Skewed
V601 is highly skewed (γ1 = 267.8774623)Skewed
V602 is highly skewed (γ1 = 190.2901918)Skewed
V603 is highly skewed (γ1 = 205.8792042)Skewed
V604 is highly skewed (γ1 = 156.6918418)Skewed
V605 is highly skewed (γ1 = 197.582394)Skewed
V606 is highly skewed (γ1 = 271.409285)Skewed
V608 is highly skewed (γ1 = 218.4778871)Skewed
V609 is highly skewed (γ1 = 245.0553184)Skewed
V610 is highly skewed (γ1 = 271.2548787)Skewed
V611 is highly skewed (γ1 = 225.2871457)Skewed
V612 is highly skewed (γ1 = 234.0977205)Skewed
V613 is highly skewed (γ1 = 254.172402)Skewed
V614 is highly skewed (γ1 = 271.409285)Skewed
V615 is highly skewed (γ1 = 271.409285)Skewed
V616 is highly skewed (γ1 = 271.409285)Skewed
V617 is highly skewed (γ1 = 257.949336)Skewed
V618 is highly skewed (γ1 = 188.3402446)Skewed
V619 is highly skewed (γ1 = 171.1157658)Skewed
V620 is highly skewed (γ1 = 247.0157545)Skewed
V621 is highly skewed (γ1 = 253.4444772)Skewed
V622 is highly skewed (γ1 = 190.4810251)Skewed
V623 is highly skewed (γ1 = 229.489779)Skewed
V624 is highly skewed (γ1 = 253.4656168)Skewed
V625 is highly skewed (γ1 = 214.3457293)Skewed
V626 is highly skewed (γ1 = 231.1405461)Skewed
V627 is highly skewed (γ1 = 255.2482622)Skewed
V628 is highly skewed (γ1 = 148.2855871)Skewed
V629 is highly skewed (γ1 = 149.1989205)Skewed
V630 is highly skewed (γ1 = 78.0922036)Skewed
V634 is highly skewed (γ1 = 32.35001377)Skewed
V635 is highly skewed (γ1 = 108.0929295)Skewed
V636 is highly skewed (γ1 = 57.42596945)Skewed
V637 is highly skewed (γ1 = 69.1358729)Skewed
V638 is highly skewed (γ1 = 76.69549862)Skewed
V639 is highly skewed (γ1 = 83.2764368)Skewed
V640 is highly skewed (γ1 = 85.09970495)Skewed
V641 is highly skewed (γ1 = 113.8034835)Skewed
V642 is highly skewed (γ1 = 58.33383099)Skewed
V643 is highly skewed (γ1 = 61.44276166)Skewed
V644 is highly skewed (γ1 = 38.35714503)Skewed
V645 is highly skewed (γ1 = 39.3645076)Skewed
V646 is highly skewed (γ1 = 80.0989526)Skewed
V647 is highly skewed (γ1 = 121.8810793)Skewed
V648 is highly skewed (γ1 = 116.3769398)Skewed
V649 is highly skewed (γ1 = 114.0174359)Skewed
V650 is highly skewed (γ1 = 113.5982548)Skewed
V651 is highly skewed (γ1 = 112.8386465)Skewed
V652 is highly skewed (γ1 = 114.0155175)Skewed
V653 is highly skewed (γ1 = 133.7088316)Skewed
V654 is highly skewed (γ1 = 120.7731175)Skewed
V655 is highly skewed (γ1 = 37.34295024)Skewed
V659 is highly skewed (γ1 = 46.44896902)Skewed
V660 is highly skewed (γ1 = 79.89131223)Skewed
V661 is highly skewed (γ1 = 94.34857446)Skewed
V662 is highly skewed (γ1 = 104.5344592)Skewed
V663 is highly skewed (γ1 = 109.72218)Skewed
V664 is highly skewed (γ1 = 115.416279)Skewed
V665 is highly skewed (γ1 = 115.8314185)Skewed
V666 is highly skewed (γ1 = 128.6296536)Skewed
V667 is highly skewed (γ1 = 90.70767517)Skewed
V668 is highly skewed (γ1 = 58.91576004)Skewed
V669 is highly skewed (γ1 = 33.39969321)Skewed
V670 is highly skewed (γ1 = 41.378362)Skewed
V671 is highly skewed (γ1 = 105.6179013)Skewed
V672 is highly skewed (γ1 = 134.0097193)Skewed
V673 is highly skewed (γ1 = 132.7888549)Skewed
V674 is highly skewed (γ1 = 132.6028978)Skewed
V675 is highly skewed (γ1 = 134.1621888)Skewed
V676 is highly skewed (γ1 = 131.8748729)Skewed
V677 is highly skewed (γ1 = 131.5843944)Skewed
V678 is highly skewed (γ1 = 143.296637)Skewed
V679 is highly skewed (γ1 = 135.6513108)Skewed
V680 is highly skewed (γ1 = 56.21259038)Skewed
V683 is highly skewed (γ1 = 21.91772155)Skewed
V684 is highly skewed (γ1 = 68.68925247)Skewed
V685 is highly skewed (γ1 = 93.38049815)Skewed
V686 is highly skewed (γ1 = 106.8035229)Skewed
V687 is highly skewed (γ1 = 114.5601115)Skewed
V688 is highly skewed (γ1 = 118.4087499)Skewed
V689 is highly skewed (γ1 = 119.3949494)Skewed
V690 is highly skewed (γ1 = 119.9440302)Skewed
V691 is highly skewed (γ1 = 130.3806211)Skewed
V692 is highly skewed (γ1 = 110.5052139)Skewed
V693 is highly skewed (γ1 = 183.378336)Skewed
V694 is highly skewed (γ1 = 187.2485204)Skewed
V695 is highly skewed (γ1 = 185.8828054)Skewed
V696 is highly skewed (γ1 = 191.9089177)Skewed
V697 is highly skewed (γ1 = 196.0339331)Skewed
V698 is highly skewed (γ1 = 47.15331536)Skewed
V699 is highly skewed (γ1 = 151.1436042)Skewed
V700 is highly skewed (γ1 = 192.9936634)Skewed
V701 is highly skewed (γ1 = 178.2053879)Skewed
V702 is highly skewed (γ1 = 183.0556504)Skewed
V703 is highly skewed (γ1 = 161.3992891)Skewed
V704 is highly skewed (γ1 = 26.83346494)Skewed
V708 is highly skewed (γ1 = 39.01002652)Skewed
V709 is highly skewed (γ1 = 31.82076021)Skewed
V710 is highly skewed (γ1 = 36.47349862)Skewed
V711 is highly skewed (γ1 = 158.6251788)Skewed
V712 is highly skewed (γ1 = 162.6776461)Skewed
V713 is highly skewed (γ1 = 160.3597457)Skewed
V717 is highly skewed (γ1 = 163.5660425)Skewed
V718 is highly skewed (γ1 = 180.8266072)Skewed
V719 is highly skewed (γ1 = 174.5677024)Skewed
V720 is highly skewed (γ1 = 180.3922564)Skewed
V721 is highly skewed (γ1 = 158.2175625)Skewed
V722 is highly skewed (γ1 = 30.82191791)Skewed
V723 is highly skewed (γ1 = 256.8394592)Skewed
V724 is highly skewed (γ1 = 263.2531383)Skewed
V725 is highly skewed (γ1 = 261.1568515)Skewed
V726 is highly skewed (γ1 = 265.2450694)Skewed
V727 is highly skewed (γ1 = 264.0577548)Skewed
V728 is highly skewed (γ1 = 36.22244243)Skewed
V729 is highly skewed (γ1 = 34.55167382)Skewed
V730 is highly skewed (γ1 = 28.88686212)Skewed
V731 is highly skewed (γ1 = 31.50443659)Skewed
V732 is highly skewed (γ1 = 73.20247765)Skewed
V733 is highly skewed (γ1 = 74.4008952)Skewed
V734 is highly skewed (γ1 = 110.7724373)Skewed
V738 is highly skewed (γ1 = 56.84267102)Skewed
V739 is highly skewed (γ1 = 81.24075413)Skewed
V740 is highly skewed (γ1 = 43.88129047)Skewed
V741 is highly skewed (γ1 = 27.72336501)Skewed
V742 is highly skewed (γ1 = 26.80691158)Skewed
V743 is highly skewed (γ1 = 28.65312104)Skewed
V744 is highly skewed (γ1 = 149.9432918)Skewed
V745 is highly skewed (γ1 = 81.38938466)Skewed
V746 is highly skewed (γ1 = 81.68771502)Skewed
V747 is highly skewed (γ1 = 251.6885131)Skewed
V748 is highly skewed (γ1 = 271.409285)Skewed
V749 is highly skewed (γ1 = 261.6864849)Skewed
V753 is highly skewed (γ1 = 28.60766291)Skewed
V754 is highly skewed (γ1 = 26.18161628)Skewed
V755 is highly skewed (γ1 = 27.61040593)Skewed
V756 is highly skewed (γ1 = 112.9656512)Skewed
V757 is highly skewed (γ1 = 80.28844906)Skewed
V758 is highly skewed (γ1 = 73.51659424)Skewed
V759 is highly skewed (γ1 = 62.03256472)Skewed
V760 is highly skewed (γ1 = 105.2675115)Skewed
V761 is highly skewed (γ1 = 88.44611499)Skewed
V764 is highly skewed (γ1 = 24.74087531)Skewed
V765 is highly skewed (γ1 = 49.43619235)Skewed
V767 is highly skewed (γ1 = 137.1159858)Skewed
V768 is highly skewed (γ1 = 65.2921839)Skewed
V770 is highly skewed (γ1 = 141.2625929)Skewed
V771 is highly skewed (γ1 = 30.9916776)Skewed
E766 is an unsupported type, check if it needs cleaning or further analysisUnsupported
E769 is an unsupported type, check if it needs cleaning or further analysisUnsupported
V569 has 31141 (42.3%) zerosZeros
V570 has 17926 (24.3%) zerosZeros
V571 has 26058 (35.4%) zerosZeros
V572 has 45221 (61.4%) zerosZeros
V573 has 61183 (83.1%) zerosZeros
V574 has 68273 (92.7%) zerosZeros
V575 has 70957 (96.3%) zerosZeros
V576 has 71976 (97.7%) zerosZeros
V577 has 72415 (98.3%) zerosZeros
V578 has 69532 (94.4%) zerosZeros
V579 has 15746 (21.4%) zerosZeros
V580 has 73659 (> 99.9%) zerosZeros
V581 has 73657 (> 99.9%) zerosZeros
V582 has 73657 (> 99.9%) zerosZeros
V583 has 73660 (> 99.9%) zerosZeros
V584 has 73660 (> 99.9%) zerosZeros
V585 has 73660 (> 99.9%) zerosZeros
V586 has 73662 (> 99.9%) zerosZeros
V587 has 73663 (100.0%) zerosZeros
V588 has 73662 (> 99.9%) zerosZeros
V589 has 73655 (> 99.9%) zerosZeros
V590 has 73661 (> 99.9%) zerosZeros
V591 has 73662 (> 99.9%) zerosZeros
V592 has 73660 (> 99.9%) zerosZeros
V593 has 73661 (> 99.9%) zerosZeros
V594 has 73662 (> 99.9%) zerosZeros
V595 has 73662 (> 99.9%) zerosZeros
V596 has 73662 (> 99.9%) zerosZeros
V597 has 73661 (> 99.9%) zerosZeros
V598 has 73658 (> 99.9%) zerosZeros
V599 has 73656 (> 99.9%) zerosZeros
V600 has 73660 (> 99.9%) zerosZeros
V601 has 73658 (> 99.9%) zerosZeros
V602 has 73658 (> 99.9%) zerosZeros
V603 has 73660 (> 99.9%) zerosZeros
V604 has 73660 (> 99.9%) zerosZeros
V605 has 73661 (> 99.9%) zerosZeros
V606 has 73662 (> 99.9%) zerosZeros
V607 has 73663 (100.0%) zerosZeros
V608 has 73661 (> 99.9%) zerosZeros
V609 has 73656 (> 99.9%) zerosZeros
V610 has 73661 (> 99.9%) zerosZeros
V611 has 73661 (> 99.9%) zerosZeros
V612 has 73660 (> 99.9%) zerosZeros
V613 has 73661 (> 99.9%) zerosZeros
V614 has 73662 (> 99.9%) zerosZeros
V615 has 73662 (> 99.9%) zerosZeros
V616 has 73662 (> 99.9%) zerosZeros
V617 has 73661 (> 99.9%) zerosZeros
V618 has 73660 (> 99.9%) zerosZeros
V619 has 73657 (> 99.9%) zerosZeros
V620 has 73657 (> 99.9%) zerosZeros
V621 has 73655 (> 99.9%) zerosZeros
V622 has 73655 (> 99.9%) zerosZeros
V623 has 73658 (> 99.9%) zerosZeros
V624 has 73658 (> 99.9%) zerosZeros
V625 has 73659 (> 99.9%) zerosZeros
V626 has 73661 (> 99.9%) zerosZeros
V627 has 73661 (> 99.9%) zerosZeros
V628 has 73656 (> 99.9%) zerosZeros
V629 has 73649 (> 99.9%) zerosZeros
V630 has 28659 (38.9%) zerosZeros
V631 has 11539 (15.7%) zerosZeros
V632 has 11057 (15.0%) zerosZeros
V633 has 12766 (17.3%) zerosZeros
V634 has 25527 (34.7%) zerosZeros
V635 has 46086 (62.6%) zerosZeros
V636 has 60311 (81.9%) zerosZeros
V637 has 66405 (90.1%) zerosZeros
V638 has 69021 (93.7%) zerosZeros
V639 has 70132 (95.2%) zerosZeros
V640 has 70714 (96.0%) zerosZeros
V641 has 65854 (89.4%) zerosZeros
V642 has 6415 (8.7%) zerosZeros
V643 has 68252 (92.7%) zerosZeros
V644 has 62261 (84.5%) zerosZeros
V645 has 60829 (82.6%) zerosZeros
V646 has 63665 (86.4%) zerosZeros
V647 has 67979 (92.3%) zerosZeros
V648 has 70846 (96.2%) zerosZeros
V649 has 72019 (97.8%) zerosZeros
V650 has 72672 (98.7%) zerosZeros
V651 has 72975 (99.1%) zerosZeros
V652 has 73106 (99.2%) zerosZeros
V653 has 72378 (98.3%) zerosZeros
V654 has 54917 (74.6%) zerosZeros
V655 has 27844 (37.8%) zerosZeros
V656 has 11453 (15.5%) zerosZeros
V657 has 11532 (15.7%) zerosZeros
V658 has 13319 (18.1%) zerosZeros
V659 has 28456 (38.6%) zerosZeros
V660 has 49465 (67.2%) zerosZeros
V661 has 61728 (83.8%) zerosZeros
V662 has 66596 (90.4%) zerosZeros
V663 has 68520 (93.0%) zerosZeros
V664 has 69588 (94.5%) zerosZeros
V665 has 70010 (95.0%) zerosZeros
V666 has 63852 (86.7%) zerosZeros
V667 has 6563 (8.9%) zerosZeros
V668 has 68741 (93.3%) zerosZeros
V669 has 63672 (86.4%) zerosZeros
V670 has 62601 (85.0%) zerosZeros
V671 has 65186 (88.5%) zerosZeros
V672 has 68995 (93.7%) zerosZeros
V673 has 71221 (96.7%) zerosZeros
V674 has 72235 (98.1%) zerosZeros
V675 has 72675 (98.7%) zerosZeros
V676 has 72943 (99.0%) zerosZeros
V677 has 73086 (99.2%) zerosZeros
V678 has 72109 (97.9%) zerosZeros
V679 has 57041 (77.4%) zerosZeros
V680 has 24148 (32.8%) zerosZeros
V681 has 10000 (13.6%) zerosZeros
V682 has 8579 (11.6%) zerosZeros
V683 has 8690 (11.8%) zerosZeros
V684 has 16493 (22.4%) zerosZeros
V685 has 35802 (48.6%) zerosZeros
V686 has 52951 (71.9%) zerosZeros
V687 has 61575 (83.6%) zerosZeros
V688 has 65455 (88.9%) zerosZeros
V689 has 67277 (91.3%) zerosZeros
V690 has 68209 (92.6%) zerosZeros
V691 has 61465 (83.4%) zerosZeros
V692 has 5771 (7.8%) zerosZeros
V693 has 65656 (89.1%) zerosZeros
V694 has 66522 (90.3%) zerosZeros
V695 has 65091 (88.4%) zerosZeros
V696 has 73332 (99.6%) zerosZeros
V697 has 72980 (99.1%) zerosZeros
V698 has 72737 (98.7%) zerosZeros
V699 has 53012 (72.0%) zerosZeros
V700 has 55244 (75.0%) zerosZeros
V701 has 51418 (69.8%) zerosZeros
V702 has 72663 (98.6%) zerosZeros
V703 has 72029 (97.8%) zerosZeros
V704 has 71679 (97.3%) zerosZeros
V705 has 55520 (75.4%) zerosZeros
V706 has 57729 (78.4%) zerosZeros
V707 has 53930 (73.2%) zerosZeros
V708 has 72876 (98.9%) zerosZeros
V709 has 72124 (97.9%) zerosZeros
V710 has 72192 (98.0%) zerosZeros
V711 has 73659 (> 99.9%) zerosZeros
V712 has 73660 (> 99.9%) zerosZeros
V713 has 73659 (> 99.9%) zerosZeros
V714 has 73663 (100.0%) zerosZeros
V715 has 73663 (100.0%) zerosZeros
V716 has 73663 (100.0%) zerosZeros
V717 has 49230 (66.8%) zerosZeros
V718 has 51512 (69.9%) zerosZeros
V719 has 47811 (64.9%) zerosZeros
V720 has 72194 (98.0%) zerosZeros
V721 has 71497 (97.1%) zerosZeros
V722 has 70609 (95.9%) zerosZeros
V723 has 56173 (76.3%) zerosZeros
V724 has 59415 (80.7%) zerosZeros
V725 has 52457 (71.2%) zerosZeros
V726 has 73282 (99.5%) zerosZeros
V727 has 72129 (97.9%) zerosZeros
V728 has 73062 (99.2%) zerosZeros
V729 has 69542 (94.4%) zerosZeros
V730 has 70003 (95.0%) zerosZeros
V731 has 68527 (93.0%) zerosZeros
V732 has 73562 (99.9%) zerosZeros
V733 has 73526 (99.8%) zerosZeros
V734 has 73239 (99.4%) zerosZeros
V735 has 56782 (77.1%) zerosZeros
V736 has 56108 (76.2%) zerosZeros
V737 has 50579 (68.7%) zerosZeros
V738 has 73426 (99.7%) zerosZeros
V739 has 72956 (99.0%) zerosZeros
V740 has 72641 (98.6%) zerosZeros
V741 has 62091 (84.3%) zerosZeros
V742 has 61446 (83.4%) zerosZeros
V743 has 56600 (76.8%) zerosZeros
V744 has 73531 (99.8%) zerosZeros
V745 has 73189 (99.4%) zerosZeros
V746 has 73109 (99.2%) zerosZeros
V747 has 73661 (> 99.9%) zerosZeros
V748 has 73662 (> 99.9%) zerosZeros
V749 has 73661 (> 99.9%) zerosZeros
V750 has 73663 (100.0%) zerosZeros
V751 has 73663 (100.0%) zerosZeros
V752 has 73663 (100.0%) zerosZeros
V753 has 51301 (69.6%) zerosZeros
V754 has 50603 (68.7%) zerosZeros
V755 has 44503 (60.4%) zerosZeros
V756 has 73258 (99.5%) zerosZeros
V757 has 72590 (98.5%) zerosZeros
V758 has 71972 (97.7%) zerosZeros
V759 has 64768 (87.9%) zerosZeros
V760 has 64588 (87.7%) zerosZeros
V761 has 63808 (86.6%) zerosZeros
V762 has 63808 (86.6%) zerosZeros
V764 has 63808 (86.6%) zerosZeros
V765 has 71963 (97.7%) zerosZeros
V767 has 71963 (97.7%) zerosZeros
V768 has 73031 (99.1%) zerosZeros
V770 has 73031 (99.1%) zerosZeros
V771 has 55241 (75.0%) zerosZeros

Reproduction

Analysis started2024-03-10 02:16:33.922218
Analysis finished2024-03-10 02:16:38.740494
Duration4.82 seconds
Software versionydata-profiling vv4.6.5
Download configurationconfig.json

Variables

V569
Real number (ℝ)

ZEROS 

Distinct330
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.684101924
Minimum0
Maximum867
Zeros31141
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:38.890186image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile40
Maximum867
Range867
Interquartile range (IQR)8

Descriptive statistics

Standard deviation25.22047794
Coefficient of variation (CV)2.904212567
Kurtosis317.2055643
Mean8.684101924
Median Absolute Deviation (MAD)2
Skewness13.30116136
Sum639697
Variance636.0725076
MonotonicityNot monotonic
2024-03-09T21:16:39.177138image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31141
42.3%
1 4725
 
6.4%
2 4477
 
6.1%
3 4067
 
5.5%
4 3420
 
4.6%
5 2926
 
4.0%
6 2422
 
3.3%
7 2009
 
2.7%
8 1585
 
2.2%
9 1384
 
1.9%
Other values (320) 15507
21.1%
ValueCountFrequency (%)
0 31141
42.3%
1 4725
 
6.4%
2 4477
 
6.1%
3 4067
 
5.5%
4 3420
 
4.6%
ValueCountFrequency (%)
867 1
< 0.1%
851 1
< 0.1%
850 1
< 0.1%
838 1
< 0.1%
828 1
< 0.1%

V570
Real number (ℝ)

ZEROS 

Distinct581
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.83401436
Minimum0
Maximum2675
Zeros17926
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:39.462269image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q326
95-th percentile121
Maximum2675
Range2675
Interquartile range (IQR)25

Descriptive statistics

Standard deviation67.14716615
Coefficient of variation (CV)2.412414008
Kurtosis356.7693806
Mean27.83401436
Median Absolute Deviation (MAD)9
Skewness13.39167307
Sum2050337
Variance4508.741922
MonotonicityNot monotonic
2024-03-09T21:16:39.764081image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17926
24.3%
6 2546
 
3.5%
5 2539
 
3.4%
7 2427
 
3.3%
4 2358
 
3.2%
8 2238
 
3.0%
9 2150
 
2.9%
3 2133
 
2.9%
10 1987
 
2.7%
11 1851
 
2.5%
Other values (571) 35508
48.2%
ValueCountFrequency (%)
0 17926
24.3%
1 1178
 
1.6%
2 1759
 
2.4%
3 2133
 
2.9%
4 2358
 
3.2%
ValueCountFrequency (%)
2675 1
< 0.1%
2406 1
< 0.1%
2399 1
< 0.1%
2331 1
< 0.1%
2318 1
< 0.1%

V571
Real number (ℝ)

ZEROS 

Distinct310
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.025385879
Minimum0
Maximum1493
Zeros26058
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:40.038919image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile27
Maximum1493
Range1493
Interquartile range (IQR)6

Descriptive statistics

Standard deviation23.60248517
Coefficient of variation (CV)3.359599825
Kurtosis649.6467228
Mean7.025385879
Median Absolute Deviation (MAD)2
Skewness18.35586883
Sum517511
Variance557.0773062
MonotonicityNot monotonic
2024-03-09T21:16:40.322422image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26058
35.4%
1 8309
 
11.3%
2 7071
 
9.6%
3 5499
 
7.5%
4 3969
 
5.4%
5 3107
 
4.2%
6 2388
 
3.2%
7 1976
 
2.7%
8 1586
 
2.2%
9 1348
 
1.8%
Other values (300) 12352
16.8%
ValueCountFrequency (%)
0 26058
35.4%
1 8309
 
11.3%
2 7071
 
9.6%
3 5499
 
7.5%
4 3969
 
5.4%
ValueCountFrequency (%)
1493 1
< 0.1%
1171 1
< 0.1%
1094 1
< 0.1%
932 1
< 0.1%
912 1
< 0.1%

V572
Real number (ℝ)

SKEWED  ZEROS 

Distinct126
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.596093018
Minimum0
Maximum1773
Zeros45221
Zeros (%)61.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:40.612567image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum1773
Range1773
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.0681447
Coefficient of variation (CV)6.307993695
Kurtosis17454.22681
Mean1.596093018
Median Absolute Deviation (MAD)0
Skewness110.0396826
Sum117573
Variance101.3675376
MonotonicityNot monotonic
2024-03-09T21:16:40.917158image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45221
61.4%
1 11779
 
16.0%
2 5817
 
7.9%
3 3247
 
4.4%
4 1957
 
2.7%
5 1240
 
1.7%
6 841
 
1.1%
7 595
 
0.8%
8 469
 
0.6%
9 338
 
0.5%
Other values (116) 2159
 
2.9%
ValueCountFrequency (%)
0 45221
61.4%
1 11779
 
16.0%
2 5817
 
7.9%
3 3247
 
4.4%
4 1957
 
2.7%
ValueCountFrequency (%)
1773 1
< 0.1%
1351 1
< 0.1%
386 1
< 0.1%
245 1
< 0.1%
225 1
< 0.1%

V573
Real number (ℝ)

SKEWED  ZEROS 

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4269307522
Minimum0
Maximum1373
Zeros61183
Zeros (%)83.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:41.205703image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum1373
Range1373
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.719420585
Coefficient of variation (CV)15.7389004
Kurtosis32492.25112
Mean0.4269307522
Median Absolute Deviation (MAD)0
Skewness171.7373006
Sum31449
Variance45.150613
MonotonicityNot monotonic
2024-03-09T21:16:41.490503image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61183
83.1%
1 7747
 
10.5%
2 2289
 
3.1%
3 856
 
1.2%
4 453
 
0.6%
5 290
 
0.4%
6 161
 
0.2%
7 136
 
0.2%
8 88
 
0.1%
9 69
 
0.1%
Other values (50) 391
 
0.5%
ValueCountFrequency (%)
0 61183
83.1%
1 7747
 
10.5%
2 2289
 
3.1%
3 856
 
1.2%
4 453
 
0.6%
ValueCountFrequency (%)
1373 1
< 0.1%
1074 1
< 0.1%
180 1
< 0.1%
113 1
< 0.1%
98 1
< 0.1%

V574
Real number (ℝ)

SKEWED  ZEROS 

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1611935436
Minimum0
Maximum1083
Zeros68273
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:41.782461image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1083
Range1083
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.174372457
Coefficient of variation (CV)32.10037041
Kurtosis36485.32105
Mean0.1611935436
Median Absolute Deviation (MAD)0
Skewness187.270388
Sum11874
Variance26.77413032
MonotonicityNot monotonic
2024-03-09T21:16:42.159294image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 68273
92.7%
1 3904
 
5.3%
2 734
 
1.0%
3 270
 
0.4%
4 143
 
0.2%
5 87
 
0.1%
6 63
 
0.1%
7 42
 
0.1%
8 25
 
< 0.1%
9 22
 
< 0.1%
Other values (26) 100
 
0.1%
ValueCountFrequency (%)
0 68273
92.7%
1 3904
 
5.3%
2 734
 
1.0%
3 270
 
0.4%
4 143
 
0.2%
ValueCountFrequency (%)
1083 1
< 0.1%
862 1
< 0.1%
73 1
< 0.1%
59 1
< 0.1%
41 1
< 0.1%

V575
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08500875609
Minimum0
Maximum1028
Zeros70957
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:42.490258image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1028
Range1028
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.74178299
Coefficient of variation (CV)55.77993618
Kurtosis38795.20936
Mean0.08500875609
Median Absolute Deviation (MAD)0
Skewness193.6446537
Sum6262
Variance22.48450592
MonotonicityNot monotonic
2024-03-09T21:16:42.855863image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 70957
96.3%
1 2046
 
2.8%
2 365
 
0.5%
3 109
 
0.1%
4 68
 
0.1%
5 28
 
< 0.1%
6 22
 
< 0.1%
7 17
 
< 0.1%
8 13
 
< 0.1%
10 7
 
< 0.1%
Other values (16) 31
 
< 0.1%
ValueCountFrequency (%)
0 70957
96.3%
1 2046
 
2.8%
2 365
 
0.5%
3 109
 
0.1%
4 68
 
0.1%
ValueCountFrequency (%)
1028 1
< 0.1%
757 1
< 0.1%
82 1
< 0.1%
68 1
< 0.1%
27 1
< 0.1%

V576
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05840109689
Minimum0
Maximum951
Zeros71976
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:43.198360image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum951
Range951
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.454882988
Coefficient of variation (CV)76.28081022
Kurtosis38462.87728
Mean0.05840109689
Median Absolute Deviation (MAD)0
Skewness194.0465617
Sum4302
Variance19.84598244
MonotonicityNot monotonic
2024-03-09T21:16:43.445303image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 71976
97.7%
1 1311
 
1.8%
2 215
 
0.3%
3 61
 
0.1%
4 36
 
< 0.1%
5 20
 
< 0.1%
8 11
 
< 0.1%
6 6
 
< 0.1%
7 6
 
< 0.1%
9 5
 
< 0.1%
Other values (9) 16
 
< 0.1%
ValueCountFrequency (%)
0 71976
97.7%
1 1311
 
1.8%
2 215
 
0.3%
3 61
 
0.1%
4 36
 
< 0.1%
ValueCountFrequency (%)
951 1
< 0.1%
739 1
< 0.1%
62 1
< 0.1%
19 2
< 0.1%
15 2
< 0.1%

V577
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05018801841
Minimum0
Maximum911
Zeros72415
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:43.651013image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum911
Range911
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.405856924
Coefficient of variation (CV)87.78702694
Kurtosis37275.24112
Mean0.05018801841
Median Absolute Deviation (MAD)0
Skewness191.6652712
Sum3697
Variance19.41157523
MonotonicityNot monotonic
2024-03-09T21:16:43.871176image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 72415
98.3%
1 957
 
1.3%
2 156
 
0.2%
3 60
 
0.1%
4 23
 
< 0.1%
6 15
 
< 0.1%
5 11
 
< 0.1%
8 5
 
< 0.1%
9 4
 
< 0.1%
11 4
 
< 0.1%
Other values (9) 13
 
< 0.1%
ValueCountFrequency (%)
0 72415
98.3%
1 957
 
1.3%
2 156
 
0.2%
3 60
 
0.1%
4 23
 
< 0.1%
ValueCountFrequency (%)
911 1
< 0.1%
767 1
< 0.1%
60 1
< 0.1%
50 1
< 0.1%
22 1
< 0.1%

V578
Real number (ℝ)

SKEWED  ZEROS 

Distinct79
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9465674762
Minimum0
Maximum26998
Zeros69532
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:44.122268image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum26998
Range26998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation134.7311493
Coefficient of variation (CV)142.3365504
Kurtosis37054.24053
Mean0.9465674762
Median Absolute Deviation (MAD)0
Skewness192.1978135
Sum69727
Variance18152.48258
MonotonicityNot monotonic
2024-03-09T21:16:44.482490image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69532
94.4%
1 2088
 
2.8%
2 683
 
0.9%
3 370
 
0.5%
4 233
 
0.3%
5 132
 
0.2%
6 107
 
0.1%
7 71
 
0.1%
8 59
 
0.1%
9 42
 
0.1%
Other values (69) 346
 
0.5%
ValueCountFrequency (%)
0 69532
94.4%
1 2088
 
2.8%
2 683
 
0.9%
3 370
 
0.5%
4 233
 
0.3%
ValueCountFrequency (%)
26998 1
< 0.1%
24634 1
< 0.1%
969 1
< 0.1%
297 1
< 0.1%
230 1
< 0.1%

V579
Real number (ℝ)

SKEWED  ZEROS 

Distinct821
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.86788483
Minimum0
Maximum36011
Zeros15746
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:44.880917image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median17
Q345
95-th percentile190
Maximum36011
Range36011
Interquartile range (IQR)40

Descriptive statistics

Standard deviation207.3634512
Coefficient of variation (CV)4.42442521
Kurtosis19464.4599
Mean46.86788483
Median Absolute Deviation (MAD)17
Skewness120.3239595
Sum3452429
Variance42999.60088
MonotonicityNot monotonic
2024-03-09T21:16:45.492706image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15746
 
21.4%
10 1775
 
2.4%
12 1728
 
2.3%
9 1691
 
2.3%
11 1662
 
2.3%
8 1659
 
2.3%
13 1615
 
2.2%
14 1609
 
2.2%
7 1602
 
2.2%
15 1485
 
2.0%
Other values (811) 43091
58.5%
ValueCountFrequency (%)
0 15746
21.4%
1 242
 
0.3%
2 439
 
0.6%
3 678
 
0.9%
4 937
 
1.3%
ValueCountFrequency (%)
36011 1
< 0.1%
31455 1
< 0.1%
4666 1
< 0.1%
4397 1
< 0.1%
4343 1
< 0.1%

V580
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002307807176
Minimum0
Maximum10
Zeros73659
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:45.773632image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04019245817
Coefficient of variation (CV)174.1586498
Kurtosis52865.12421
Mean0.0002307807176
Median Absolute Deviation (MAD)0
Skewness220.5733929
Sum17
Variance0.001615433693
MonotonicityNot monotonic
2024-03-09T21:16:45.999050image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 73659
> 99.9%
3 2
 
< 0.1%
10 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
0 73659
> 99.9%
1 1
 
< 0.1%
3 2
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
3 2
 
< 0.1%
1 1
 
< 0.1%
0 73659
> 99.9%

V581
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001208204933
Minimum0
Maximum59
Zeros73657
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:46.240145image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum59
Range59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2314759601
Coefficient of variation (CV)191.5866702
Kurtosis58216.02319
Mean0.001208204933
Median Absolute Deviation (MAD)0
Skewness235.0153275
Sum89
Variance0.05358112011
MonotonicityNot monotonic
2024-03-09T21:16:46.455532image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 73657
> 99.9%
2 2
 
< 0.1%
59 1
 
< 0.1%
1 1
 
< 0.1%
4 1
 
< 0.1%
21 1
 
< 0.1%
ValueCountFrequency (%)
0 73657
> 99.9%
1 1
 
< 0.1%
2 2
 
< 0.1%
4 1
 
< 0.1%
21 1
 
< 0.1%
ValueCountFrequency (%)
59 1
< 0.1%
21 1
< 0.1%
4 1
< 0.1%
2 2
< 0.1%
1 1
< 0.1%

V582
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004615614352
Minimum0
Maximum18
Zeros73657
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:46.655854image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07350404183
Coefficient of variation (CV)159.2508304
Kurtosis50067.15926
Mean0.0004615614352
Median Absolute Deviation (MAD)0
Skewness213.8420478
Sum34
Variance0.005402844165
MonotonicityNot monotonic
2024-03-09T21:16:46.880989image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 73657
> 99.9%
2 2
 
< 0.1%
18 1
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
0 73657
> 99.9%
1 1
 
< 0.1%
2 2
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
18 1
< 0.1%
7 1
< 0.1%
4 1
< 0.1%
2 2
< 0.1%
1 1
< 0.1%

V583
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.145201797 × 10-5
Minimum0
Maximum3
Zeros73660
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:47.126626image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01378588605
Coefficient of variation (CV)169.2516207
Kurtosis36829.16318
Mean8.145201797 × 10-5
Median Absolute Deviation (MAD)0
Skewness186.5200237
Sum6
Variance0.0001900506542
MonotonicityNot monotonic
2024-03-09T21:16:47.340038image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 73660
> 99.9%
1 1
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 73660
> 99.9%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
3 1
 
< 0.1%
2 1
 
< 0.1%
1 1
 
< 0.1%
0 73660
> 99.9%

V584
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.430134532 × 10-5
Minimum0
Maximum2
Zeros73660
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:47.561474image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.009024975072
Coefficient of variation (CV)166.2016847
Kurtosis36829.22214
Mean5.430134532 × 10-5
Median Absolute Deviation (MAD)0
Skewness184.6663657
Sum4
Variance8.145017505 × 10-5
MonotonicityNot monotonic
2024-03-09T21:16:47.797637image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73660
> 99.9%
1 2
 
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 73660
> 99.9%
1 2
 
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
1 2
 
< 0.1%
0 73660
> 99.9%

V585
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001086026906
Minimum0
Maximum5
Zeros73660
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:48.063492image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02018053081
Coefficient of variation (CV)185.8198052
Kurtosis52545.11908
Mean0.0001086026906
Median Absolute Deviation (MAD)0
Skewness221.3317147
Sum8
Variance0.0004072538239
MonotonicityNot monotonic
2024-03-09T21:16:48.255394image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 73660
> 99.9%
2 1
 
< 0.1%
1 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 73660
> 99.9%
1 1
 
< 0.1%
2 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
2 1
 
< 0.1%
1 1
 
< 0.1%
0 73660
> 99.9%

V586
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.715067266 × 10-5
Minimum0
Maximum2
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:48.472223image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.007368944654
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean2.715067266 × 10-5
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum2
Variance5.430134532 × 10-5
MonotonicityNot monotonic
2024-03-09T21:16:48.718623image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
2 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
0 73662
> 99.9%

V587
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros73663
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:48.938824image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-09T21:16:49.157275image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%

V588
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.715067266 × 10-5
Minimum0
Maximum2
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:49.338984image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.007368944654
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean2.715067266 × 10-5
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum2
Variance5.430134532 × 10-5
MonotonicityNot monotonic
2024-03-09T21:16:49.583327image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
2 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
0 73662
> 99.9%

V589
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002199204485
Minimum0
Maximum87
Zeros73655
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:49.833472image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum87
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3493798003
Coefficient of variation (CV)158.8664459
Kurtosis53187.35454
Mean0.002199204485
Median Absolute Deviation (MAD)0
Skewness221.3273416
Sum162
Variance0.1220662449
MonotonicityNot monotonic
2024-03-09T21:16:50.040408image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 73655
> 99.9%
87 1
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%
32 1
 
< 0.1%
1 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 73655
> 99.9%
1 1
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
87 1
< 0.1%
32 1
< 0.1%
12 1
< 0.1%
11 1
< 0.1%
9 1
< 0.1%

V590
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005565887895
Minimum0
Maximum35
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:50.232579image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1308373865
Coefficient of variation (CV)235.0701074
Kurtosis69576.89588
Mean0.0005565887895
Median Absolute Deviation (MAD)0
Skewness261.1788801
Sum41
Variance0.01711842171
MonotonicityNot monotonic
2024-03-09T21:16:50.426560image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
35 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
6 1
 
< 0.1%
35 1
 
< 0.1%
ValueCountFrequency (%)
35 1
 
< 0.1%
6 1
 
< 0.1%
0 73661
> 99.9%

V591
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.787668164 × 10-5
Minimum0
Maximum5
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:50.654789image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01842236164
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean6.787668164 × 10-5
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum5
Variance0.0003393834082
MonotonicityNot monotonic
2024-03-09T21:16:50.858148image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
0 73662
> 99.9%

V592
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0006380408075
Minimum0
Maximum33
Zeros73660
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:51.068984image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum33
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1278987695
Coefficient of variation (CV)200.4554694
Kurtosis60682.86744
Mean0.0006380408075
Median Absolute Deviation (MAD)0
Skewness240.0797749
Sum47
Variance0.01635809525
MonotonicityNot monotonic
2024-03-09T21:16:51.282774image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 73660
> 99.9%
10 1
 
< 0.1%
33 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 73660
> 99.9%
4 1
 
< 0.1%
10 1
 
< 0.1%
33 1
 
< 0.1%
ValueCountFrequency (%)
33 1
 
< 0.1%
10 1
 
< 0.1%
4 1
 
< 0.1%
0 73660
> 99.9%

V593
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002579313903
Minimum0
Maximum15
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:51.477099image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05719819875
Coefficient of variation (CV)221.7574166
Kurtosis64530.885
Mean0.0002579313903
Median Absolute Deviation (MAD)0
Skewness249.476621
Sum19
Variance0.00327163394
MonotonicityNot monotonic
2024-03-09T21:16:51.693121image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
15 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
4 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
4 1
 
< 0.1%
0 73661
> 99.9%

V594
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.787668164 × 10-5
Minimum0
Maximum5
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:51.917559image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01842236164
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean6.787668164 × 10-5
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum5
Variance0.0003393834082
MonotonicityNot monotonic
2024-03-09T21:16:52.134325image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
0 73662
> 99.9%

V595
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001086026906
Minimum0
Maximum8
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:52.340199image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02947577862
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean0.0001086026906
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum8
Variance0.0008688215251
MonotonicityNot monotonic
2024-03-09T21:16:52.559766image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
0 73662
> 99.9%

V596
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.145201797 × 10-5
Minimum0
Maximum6
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:52.772491image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02210683396
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean8.145201797 × 10-5
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum6
Variance0.0004887121078
MonotonicityNot monotonic
2024-03-09T21:16:52.995491image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
0 73662
> 99.9%

V597
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.787668164 × 10-5
Minimum0
Maximum4
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:53.205426image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01519142005
Coefficient of variation (CV)223.8091151
Kurtosis65506.10685
Mean6.787668164 × 10-5
Median Absolute Deviation (MAD)0
Skewness251.6885131
Sum5
Variance0.0002307792433
MonotonicityNot monotonic
2024-03-09T21:16:53.438890image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
1 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
1 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
1 1
 
< 0.1%
0 73661
> 99.9%

V598
Real number (ℝ)

SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001900547086
Minimum0
Maximum6
Zeros73658
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:53.659977image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02805965208
Coefficient of variation (CV)147.6398679
Kurtosis34376.64649
Mean0.0001900547086
Median Absolute Deviation (MAD)0
Skewness178.1844959
Sum14
Variance0.0007873440747
MonotonicityNot monotonic
2024-03-09T21:16:54.048157image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 73658
> 99.9%
1 2
 
< 0.1%
4 1
 
< 0.1%
2 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 73658
> 99.9%
1 2
 
< 0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 1
 
< 0.1%
2 1
 
< 0.1%
1 2
 
< 0.1%
0 73658
> 99.9%

V599
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002036300449
Minimum0
Maximum50
Zeros73656
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:54.307913image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2817543221
Coefficient of variation (CV)138.3657909
Kurtosis24931.45389
Mean0.002036300449
Median Absolute Deviation (MAD)0
Skewness154.7664205
Sum150
Variance0.07938549802
MonotonicityNot monotonic
2024-03-09T21:16:54.573385image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 73656
> 99.9%
1 2
 
< 0.1%
45 1
 
< 0.1%
50 1
 
< 0.1%
33 1
 
< 0.1%
6 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
0 73656
> 99.9%
1 2
 
< 0.1%
6 1
 
< 0.1%
14 1
 
< 0.1%
33 1
 
< 0.1%
ValueCountFrequency (%)
50 1
< 0.1%
45 1
< 0.1%
33 1
< 0.1%
14 1
< 0.1%
6 1
< 0.1%

V600
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002036300449
Minimum0
Maximum12
Zeros73660
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:54.840842image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04497456066
Coefficient of variation (CV)220.8640708
Kurtosis68858.33331
Mean0.0002036300449
Median Absolute Deviation (MAD)0
Skewness259.2057055
Sum15
Variance0.002022711107
MonotonicityNot monotonic
2024-03-09T21:16:55.160404image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 73660
> 99.9%
12 1
 
< 0.1%
1 1
 
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 73660
> 99.9%
1 1
 
< 0.1%
2 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
2 1
 
< 0.1%
1 1
 
< 0.1%
0 73660
> 99.9%

V601
Real number (ℝ)

SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001289656951
Minimum0
Maximum81
Zeros73658
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:55.558646image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum81
Range81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2998030333
Coefficient of variation (CV)232.467272
Kurtosis72336.60947
Mean0.001289656951
Median Absolute Deviation (MAD)0
Skewness267.8774623
Sum95
Variance0.0898818588
MonotonicityNot monotonic
2024-03-09T21:16:55.807158image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 73658
> 99.9%
2 2
 
< 0.1%
81 1
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 73658
> 99.9%
2 2
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
81 1
 
< 0.1%
ValueCountFrequency (%)
81 1
 
< 0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%
2 2
 
< 0.1%
0 73658
> 99.9%

V602
Real number (ℝ)

SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002850820629
Minimum0
Maximum10
Zeros73658
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:56.033981image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04587073602
Coefficient of variation (CV)160.9036204
Kurtosis38075.66415
Mean0.0002850820629
Median Absolute Deviation (MAD)0
Skewness190.2901918
Sum21
Variance0.002104124423
MonotonicityNot monotonic
2024-03-09T21:16:56.240180image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 73658
> 99.9%
1 2
 
< 0.1%
10 1
 
< 0.1%
2 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 73658
> 99.9%
1 2
 
< 0.1%
2 1
 
< 0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
7 1
 
< 0.1%
2 1
 
< 0.1%
1 2
 
< 0.1%
0 73658
> 99.9%

V603
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.50273543 × 10-5
Minimum0
Maximum4
Zeros73660
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:56.502889image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01688422052
Coefficient of variation (CV)177.6774766
Kurtosis45599.25391
Mean9.50273543 × 10-5
Median Absolute Deviation (MAD)0
Skewness205.8792042
Sum7
Variance0.0002850769027
MonotonicityNot monotonic
2024-03-09T21:16:56.731159image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 73660
> 99.9%
2 1
 
< 0.1%
1 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 73660
> 99.9%
1 1
 
< 0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
2 1
 
< 0.1%
1 1
 
< 0.1%
0 73660
> 99.9%

V604
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.072600899 × 10-5
Minimum0
Maximum1
Zeros73660
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:56.955445image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.006381606634
Coefficient of variation (CV)156.6960965
Kurtosis24550.99986
Mean4.072600899 × 10-5
Median Absolute Deviation (MAD)0
Skewness156.6918418
Sum3
Variance4.072490323 × 10-5
MonotonicityNot monotonic
2024-03-09T21:16:57.172435image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73660
> 99.9%
1 3
 
< 0.1%
ValueCountFrequency (%)
0 73660
> 99.9%
1 3
 
< 0.1%
ValueCountFrequency (%)
1 3
 
< 0.1%
0 73660
> 99.9%

V605
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.50273543 × 10-5
Minimum0
Maximum4
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:57.355644image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01842224159
Coefficient of variation (CV)193.8625118
Kurtosis39716.82237
Mean9.50273543 × 10-5
Median Absolute Deviation (MAD)0
Skewness197.582394
Sum7
Variance0.0003393789852
MonotonicityNot monotonic
2024-03-09T21:16:58.242423image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
4 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
3 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 1
 
< 0.1%
0 73661
> 99.9%

V606
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.715067266 × 10-5
Minimum0
Maximum2
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:58.457212image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.007368944654
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean2.715067266 × 10-5
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum2
Variance5.430134532 × 10-5
MonotonicityNot monotonic
2024-03-09T21:16:58.675735image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
2 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
0 73662
> 99.9%

V607
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros73663
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:58.873678image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-09T21:16:59.072238image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%

V608
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.145201797 × 10-5
Minimum0
Maximum4
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:59.261795image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01647737169
Coefficient of variation (CV)202.2954385
Kurtosis50089.36794
Mean8.145201797 × 10-5
Median Absolute Deviation (MAD)0
Skewness218.4778871
Sum6
Variance0.0002715037779
MonotonicityNot monotonic
2024-03-09T21:16:59.489124image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
2 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
2 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
2 1
 
< 0.1%
0 73661
> 99.9%

V609
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002117752467
Minimum0
Maximum103
Zeros73656
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:59.722177image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum103
Range103
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3949408146
Coefficient of variation (CV)186.4905463
Kurtosis63063.02417
Mean0.002117752467
Median Absolute Deviation (MAD)0
Skewness245.0553184
Sum156
Variance0.155978247
MonotonicityNot monotonic
2024-03-09T21:16:59.923248image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 73656
> 99.9%
103 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
2 1
 
< 0.1%
26 1
 
< 0.1%
1 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 73656
> 99.9%
1 1
 
< 0.1%
2 1
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
103 1
< 0.1%
26 1
< 0.1%
10 1
< 0.1%
8 1
< 0.1%
6 1
< 0.1%

V610
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0007059174891
Minimum0
Maximum51
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:00.138798image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1879441575
Coefficient of variation (CV)266.2409706
Kurtosis73606.3991
Mean0.0007059174891
Median Absolute Deviation (MAD)0
Skewness271.2548787
Sum52
Variance0.03532300633
MonotonicityNot monotonic
2024-03-09T21:17:00.339969image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
51 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
1 1
 
< 0.1%
51 1
 
< 0.1%
ValueCountFrequency (%)
51 1
 
< 0.1%
1 1
 
< 0.1%
0 73661
> 99.9%

V611
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001764793723
Minimum0
Maximum9
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:00.539112image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03628766119
Coefficient of variation (CV)205.6198451
Kurtosis53369.01335
Mean0.0001764793723
Median Absolute Deviation (MAD)0
Skewness225.2871457
Sum13
Variance0.001316794355
MonotonicityNot monotonic
2024-03-09T21:17:00.755802image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
9 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
4 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
4 1
 
< 0.1%
0 73661
> 99.9%

V612
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005430134532
Minimum0
Maximum27
Zeros73660
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:00.957313image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.105891856
Coefficient of variation (CV)195.0077947
Kurtosis58113.06949
Mean0.0005430134532
Median Absolute Deviation (MAD)0
Skewness234.0977205
Sum40
Variance0.01121308517
MonotonicityNot monotonic
2024-03-09T21:17:01.218603image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 73660
> 99.9%
9 1
 
< 0.1%
27 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 73660
> 99.9%
4 1
 
< 0.1%
9 1
 
< 0.1%
27 1
 
< 0.1%
ValueCountFrequency (%)
27 1
 
< 0.1%
9 1
 
< 0.1%
4 1
 
< 0.1%
0 73660
> 99.9%

V613
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002172053813
Minimum0
Maximum13
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:01.388844image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04915684583
Coefficient of variation (CV)226.3150459
Kurtosis66590.19864
Mean0.0002172053813
Median Absolute Deviation (MAD)0
Skewness254.172402
Sum16
Variance0.002416395492
MonotonicityNot monotonic
2024-03-09T21:17:01.614082image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
13 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
3 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
3 1
 
< 0.1%
0 73661
> 99.9%

V614
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001629040359
Minimum0
Maximum12
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:01.855881image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04421366792
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean0.0001629040359
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum12
Variance0.001954848431
MonotonicityNot monotonic
2024-03-09T21:17:02.099891image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
0 73662
> 99.9%

V615
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001629040359
Minimum0
Maximum12
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:02.292150image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04421366792
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean0.0001629040359
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum12
Variance0.001954848431
MonotonicityNot monotonic
2024-03-09T21:17:02.592426image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
0 73662
> 99.9%

V616
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.430134532 × 10-5
Minimum0
Maximum4
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:02.855417image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01473788931
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean5.430134532 × 10-5
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum4
Variance0.0002172053813
MonotonicityNot monotonic
2024-03-09T21:17:03.103672image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
0 73662
> 99.9%

V617
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.145201797 × 10-5
Minimum0
Maximum5
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:03.322308image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01878714725
Coefficient of variation (CV)230.6529379
Kurtosis68214.27446
Mean8.145201797 × 10-5
Median Absolute Deviation (MAD)0
Skewness257.949336
Sum6
Variance0.0003529569016
MonotonicityNot monotonic
2024-03-09T21:17:03.572484image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
1 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
1 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
1 1
 
< 0.1%
0 73661
> 99.9%

V618
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001086026906
Minimum0
Maximum4
Zeros73660
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:03.791963image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01878700991
Coefficient of variation (CV)172.9884389
Kurtosis36829.10641
Mean0.0001086026906
Median Absolute Deviation (MAD)0
Skewness188.3402446
Sum8
Variance0.0003529517414
MonotonicityNot monotonic
2024-03-09T21:17:04.037265image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 73660
> 99.9%
4 1
 
< 0.1%
1 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
0 73660
> 99.9%
1 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 1
 
< 0.1%
1 1
 
< 0.1%
0 73660
> 99.9%

V619
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002212779822
Minimum0
Maximum65
Zeros73657
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:04.255860image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum65
Range65
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3322721968
Coefficient of variation (CV)150.1605327
Kurtosis30682.1503
Mean0.002212779822
Median Absolute Deviation (MAD)0
Skewness171.1157658
Sum163
Variance0.1104048128
MonotonicityNot monotonic
2024-03-09T21:17:04.472137image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 73657
> 99.9%
65 1
 
< 0.1%
55 1
 
< 0.1%
1 1
 
< 0.1%
27 1
 
< 0.1%
3 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 73657
> 99.9%
1 1
 
< 0.1%
3 1
 
< 0.1%
12 1
 
< 0.1%
27 1
 
< 0.1%
ValueCountFrequency (%)
65 1
< 0.1%
55 1
< 0.1%
27 1
< 0.1%
12 1
< 0.1%
3 1
< 0.1%

V620
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001696917041
Minimum0
Maximum86
Zeros73657
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:04.690269image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum86
Range86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.32886668
Coefficient of variation (CV)193.80245
Kurtosis63757.54641
Mean0.001696917041
Median Absolute Deviation (MAD)0
Skewness247.0157545
Sum125
Variance0.1081532932
MonotonicityNot monotonic
2024-03-09T21:17:04.890225image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 73657
> 99.9%
86 1
 
< 0.1%
22 1
 
< 0.1%
2 1
 
< 0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 73657
> 99.9%
2 1
 
< 0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
86 1
< 0.1%
22 1
< 0.1%
7 1
< 0.1%
5 1
< 0.1%
3 1
< 0.1%

V621
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002742217938
Minimum0
Maximum140
Zeros73655
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:05.087309image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum140
Range140
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5292026744
Coefficient of variation (CV)192.9834485
Kurtosis66590.04625
Mean0.002742217938
Median Absolute Deviation (MAD)0
Skewness253.4444772
Sum202
Variance0.2800554706
MonotonicityNot monotonic
2024-03-09T21:17:05.305531image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 73655
> 99.9%
4 2
 
< 0.1%
6 2
 
< 0.1%
14 1
 
< 0.1%
140 1
 
< 0.1%
1 1
 
< 0.1%
27 1
 
< 0.1%
ValueCountFrequency (%)
0 73655
> 99.9%
1 1
 
< 0.1%
4 2
 
< 0.1%
6 2
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
140 1
< 0.1%
27 1
< 0.1%
14 1
< 0.1%
6 2
< 0.1%
4 2
< 0.1%

V622
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001927697759
Minimum0
Maximum62
Zeros73655
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:05.520935image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2681779114
Coefficient of variation (CV)139.1182358
Kurtosis40847.44856
Mean0.001927697759
Median Absolute Deviation (MAD)0
Skewness190.4810251
Sum142
Variance0.07191939218
MonotonicityNot monotonic
2024-03-09T21:17:05.728166image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 73655
> 99.9%
28 1
 
< 0.1%
3 1
 
< 0.1%
6 1
 
< 0.1%
2 1
 
< 0.1%
19 1
 
< 0.1%
14 1
 
< 0.1%
62 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 73655
> 99.9%
2 1
 
< 0.1%
3 1
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
62 1
< 0.1%
28 1
< 0.1%
19 1
< 0.1%
14 1
< 0.1%
8 1
< 0.1%

V623
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0006516161438
Minimum0
Maximum28
Zeros73658
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:05.931347image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1101639271
Coefficient of variation (CV)169.0626117
Kurtosis57022.08933
Mean0.0006516161438
Median Absolute Deviation (MAD)0
Skewness229.489779
Sum48
Variance0.01213609083
MonotonicityNot monotonic
2024-03-09T21:17:06.126497image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 73658
> 99.9%
3 1
 
< 0.1%
4 1
 
< 0.1%
28 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 73658
> 99.9%
3 1
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
28 1
< 0.1%
7 1
< 0.1%
6 1
< 0.1%
4 1
< 0.1%
3 1
< 0.1%

V624
Real number (ℝ)

SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003258080719
Minimum0
Maximum17
Zeros73658
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:06.333756image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06424057998
Coefficient of variation (CV)197.1730768
Kurtosis66651.69006
Mean0.0003258080719
Median Absolute Deviation (MAD)0
Skewness253.4656168
Sum24
Variance0.004126852117
MonotonicityNot monotonic
2024-03-09T21:17:06.555719image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 73658
> 99.9%
1 2
 
< 0.1%
17 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
0 73658
> 99.9%
1 2
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%
1 2
 
< 0.1%
0 73658
> 99.9%

V625
Real number (ℝ)

SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004751367715
Minimum0
Maximum20
Zeros73659
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:06.772234image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08180773746
Coefficient of variation (CV)172.177239
Kurtosis49927.0704
Mean0.0004751367715
Median Absolute Deviation (MAD)0
Skewness214.3457293
Sum35
Variance0.006692505908
MonotonicityNot monotonic
2024-03-09T21:17:06.998733image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 73659
> 99.9%
2 1
 
< 0.1%
20 1
 
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 73659
> 99.9%
2 1
 
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
8 1
 
< 0.1%
5 1
 
< 0.1%
2 1
 
< 0.1%
0 73659
> 99.9%

V626
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001900547086
Minimum0
Maximum10
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:07.228503image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03968279565
Coefficient of variation (CV)208.7966983
Kurtosis56144.00369
Mean0.0001900547086
Median Absolute Deviation (MAD)0
Skewness231.1405461
Sum14
Variance0.001574724271
MonotonicityNot monotonic
2024-03-09T21:17:07.456878image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
10 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
4 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
4 1
 
< 0.1%
0 73661
> 99.9%

V627
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001493286996
Minimum0
Maximum9
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:07.655631image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03396905877
Coefficient of variation (CV)227.4784342
Kurtosis67055.92499
Mean0.0001493286996
Median Absolute Deviation (MAD)0
Skewness255.2482622
Sum11
Variance0.001153896953
MonotonicityNot monotonic
2024-03-09T21:17:07.855657image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
2 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
2 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
2 1
 
< 0.1%
0 73661
> 99.9%

V628
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004072600899
Minimum0
Maximum9
Zeros73656
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:08.055626image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05024819372
Coefficient of variation (CV)123.3810898
Kurtosis23848.63081
Mean0.0004072600899
Median Absolute Deviation (MAD)0
Skewness148.2855871
Sum30
Variance0.002524880973
MonotonicityNot monotonic
2024-03-09T21:17:08.255532image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 73656
> 99.9%
4 2
 
< 0.1%
2 2
 
< 0.1%
8 1
 
< 0.1%
1 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 73656
> 99.9%
1 1
 
< 0.1%
2 2
 
< 0.1%
4 2
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
9 1
< 0.1%
8 1
< 0.1%
4 2
< 0.1%
2 2
< 0.1%
1 1
< 0.1%

V629
Real number (ℝ)

SKEWED  ZEROS 

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008566037224
Minimum0
Maximum190
Zeros73649
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:08.472350image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum190
Range190
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9631391253
Coefficient of variation (CV)112.4369531
Kurtosis25206.28032
Mean0.008566037224
Median Absolute Deviation (MAD)0
Skewness149.1989205
Sum631
Variance0.9276369747
MonotonicityNot monotonic
2024-03-09T21:17:08.777969image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 73649
> 99.9%
6 2
 
< 0.1%
110 1
 
< 0.1%
190 1
 
< 0.1%
19 1
 
< 0.1%
22 1
 
< 0.1%
105 1
 
< 0.1%
2 1
 
< 0.1%
1 1
 
< 0.1%
58 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
ValueCountFrequency (%)
0 73649
> 99.9%
1 1
 
< 0.1%
2 1
 
< 0.1%
6 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
190 1
< 0.1%
110 1
< 0.1%
105 1
< 0.1%
62 1
< 0.1%
58 1
< 0.1%

V630
Real number (ℝ)

SKEWED  ZEROS 

Distinct243
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.997067727
Minimum0
Maximum3715
Zeros28659
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:09.198249image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile25
Maximum3715
Range3715
Interquartile range (IQR)6

Descriptive statistics

Standard deviation23.0297847
Coefficient of variation (CV)3.840174189
Kurtosis11013.10957
Mean5.997067727
Median Absolute Deviation (MAD)2
Skewness78.0922036
Sum441762
Variance530.3709832
MonotonicityNot monotonic
2024-03-09T21:17:09.742031image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28659
38.9%
1 7683
 
10.4%
2 6381
 
8.7%
3 5016
 
6.8%
4 3961
 
5.4%
5 3011
 
4.1%
6 2263
 
3.1%
7 1818
 
2.5%
8 1525
 
2.1%
9 1282
 
1.7%
Other values (233) 12064
16.4%
ValueCountFrequency (%)
0 28659
38.9%
1 7683
 
10.4%
2 6381
 
8.7%
3 5016
 
6.8%
4 3961
 
5.4%
ValueCountFrequency (%)
3715 1
< 0.1%
2479 1
< 0.1%
718 1
< 0.1%
663 1
< 0.1%
652 1
< 0.1%

V631
Real number (ℝ)

ZEROS 

Distinct513
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.72670133
Minimum0
Maximum2939
Zeros11539
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:10.272444image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q323
95-th percentile90
Maximum2939
Range2939
Interquartile range (IQR)20

Descriptive statistics

Standard deviation51.03095876
Coefficient of variation (CV)2.245418638
Kurtosis340.5772521
Mean22.72670133
Median Absolute Deviation (MAD)8
Skewness12.56048823
Sum1674117
Variance2604.158751
MonotonicityNot monotonic
2024-03-09T21:17:10.642340image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11539
 
15.7%
4 3446
 
4.7%
5 3442
 
4.7%
3 3329
 
4.5%
6 3208
 
4.4%
7 3095
 
4.2%
2 3064
 
4.2%
8 2781
 
3.8%
9 2471
 
3.4%
1 2311
 
3.1%
Other values (503) 34977
47.5%
ValueCountFrequency (%)
0 11539
15.7%
1 2311
 
3.1%
2 3064
 
4.2%
3 3329
 
4.5%
4 3446
 
4.7%
ValueCountFrequency (%)
2939 1
< 0.1%
1669 1
< 0.1%
1556 1
< 0.1%
1548 1
< 0.1%
1525 1
< 0.1%

V632
Real number (ℝ)

ZEROS 

Distinct488
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.70193992
Minimum0
Maximum2325
Zeros11057
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:11.047202image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8
Q322
95-th percentile86
Maximum2325
Range2325
Interquartile range (IQR)19

Descriptive statistics

Standard deviation49.31729177
Coefficient of variation (CV)2.272483103
Kurtosis383.413818
Mean21.70193992
Median Absolute Deviation (MAD)7
Skewness13.95306995
Sum1598630
Variance2432.195267
MonotonicityNot monotonic
2024-03-09T21:17:11.334886image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11057
 
15.0%
5 3584
 
4.9%
4 3573
 
4.9%
3 3487
 
4.7%
2 3425
 
4.6%
6 3248
 
4.4%
7 3020
 
4.1%
1 2981
 
4.0%
8 2738
 
3.7%
9 2511
 
3.4%
Other values (478) 34039
46.2%
ValueCountFrequency (%)
0 11057
15.0%
1 2981
 
4.0%
2 3425
 
4.6%
3 3487
 
4.7%
4 3573
 
4.9%
ValueCountFrequency (%)
2325 1
< 0.1%
1774 1
< 0.1%
1770 1
< 0.1%
1763 1
< 0.1%
1749 1
< 0.1%

V633
Real number (ℝ)

ZEROS 

Distinct424
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.79613917
Minimum0
Maximum2276
Zeros12766
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:11.639537image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q317
95-th percentile67
Maximum2276
Range2276
Interquartile range (IQR)15

Descriptive statistics

Standard deviation40.6775931
Coefficient of variation (CV)2.421841869
Kurtosis522.5668314
Mean16.79613917
Median Absolute Deviation (MAD)6
Skewness16.32449625
Sum1237254
Variance1654.66658
MonotonicityNot monotonic
2024-03-09T21:17:11.938942image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12766
17.3%
2 4455
 
6.0%
1 4376
 
5.9%
3 4257
 
5.8%
4 4226
 
5.7%
5 3865
 
5.2%
6 3400
 
4.6%
7 3000
 
4.1%
8 2675
 
3.6%
9 2309
 
3.1%
Other values (414) 28334
38.5%
ValueCountFrequency (%)
0 12766
17.3%
1 4376
 
5.9%
2 4455
 
6.0%
3 4257
 
5.8%
4 4226
 
5.7%
ValueCountFrequency (%)
2276 1
< 0.1%
1788 1
< 0.1%
1738 1
< 0.1%
1524 1
< 0.1%
1487 1
< 0.1%

V634
Real number (ℝ)

SKEWED  ZEROS 

Distinct262
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.04925132
Minimum0
Maximum1646
Zeros25527
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:12.225691image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile18
Maximum1646
Range1646
Interquartile range (IQR)5

Descriptive statistics

Standard deviation20.79440706
Coefficient of variation (CV)4.118314922
Kurtosis1742.814303
Mean5.04925132
Median Absolute Deviation (MAD)1
Skewness32.35001377
Sum371943
Variance432.4073649
MonotonicityNot monotonic
2024-03-09T21:17:12.519643image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25527
34.7%
1 11682
15.9%
2 8127
 
11.0%
3 5586
 
7.6%
4 4132
 
5.6%
5 3085
 
4.2%
6 2358
 
3.2%
7 1720
 
2.3%
8 1504
 
2.0%
9 1202
 
1.6%
Other values (252) 8740
 
11.9%
ValueCountFrequency (%)
0 25527
34.7%
1 11682
15.9%
2 8127
 
11.0%
3 5586
 
7.6%
4 4132
 
5.6%
ValueCountFrequency (%)
1646 1
< 0.1%
1496 1
< 0.1%
1318 1
< 0.1%
1272 1
< 0.1%
1205 1
< 0.1%

V635
Real number (ℝ)

SKEWED  ZEROS 

Distinct183
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.739720077
Minimum0
Maximum3715
Zeros46086
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:12.839635image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum3715
Range3715
Interquartile range (IQR)1

Descriptive statistics

Standard deviation19.71398715
Coefficient of variation (CV)11.33170067
Kurtosis17881.43015
Mean1.739720077
Median Absolute Deviation (MAD)0
Skewness108.0929295
Sum128153
Variance388.6412893
MonotonicityNot monotonic
2024-03-09T21:17:13.171201image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46086
62.6%
1 12323
 
16.7%
2 5637
 
7.7%
3 2912
 
4.0%
4 1760
 
2.4%
5 1117
 
1.5%
6 784
 
1.1%
7 536
 
0.7%
8 404
 
0.5%
9 284
 
0.4%
Other values (173) 1820
 
2.5%
ValueCountFrequency (%)
0 46086
62.6%
1 12323
 
16.7%
2 5637
 
7.7%
3 2912
 
4.0%
4 1760
 
2.4%
ValueCountFrequency (%)
3715 1
< 0.1%
1299 1
< 0.1%
1080 1
< 0.1%
1034 1
< 0.1%
952 1
< 0.1%

V636
Real number (ℝ)

SKEWED  ZEROS 

Distinct145
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.812551756
Minimum0
Maximum1268
Zeros60311
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:13.787229image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum1268
Range1268
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.72431931
Coefficient of variation (CV)14.42901233
Kurtosis4463.750395
Mean0.812551756
Median Absolute Deviation (MAD)0
Skewness57.42596945
Sum59855
Variance137.4596633
MonotonicityNot monotonic
2024-03-09T21:17:14.391903image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60311
81.9%
1 7670
 
10.4%
2 2326
 
3.2%
3 1011
 
1.4%
4 565
 
0.8%
5 397
 
0.5%
6 285
 
0.4%
7 170
 
0.2%
8 114
 
0.2%
10 96
 
0.1%
Other values (135) 718
 
1.0%
ValueCountFrequency (%)
0 60311
81.9%
1 7670
 
10.4%
2 2326
 
3.2%
3 1011
 
1.4%
4 565
 
0.8%
ValueCountFrequency (%)
1268 1
< 0.1%
1025 1
< 0.1%
986 1
< 0.1%
863 1
< 0.1%
731 1
< 0.1%

V637
Real number (ℝ)

SKEWED  ZEROS 

Distinct132
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5227590514
Minimum0
Maximum1251
Zeros66405
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:14.755681image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1251
Range1251
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.861191861
Coefficient of variation (CV)18.86374198
Kurtosis6564.503106
Mean0.5227590514
Median Absolute Deviation (MAD)0
Skewness69.1358729
Sum38508
Variance97.24310492
MonotonicityNot monotonic
2024-03-09T21:17:15.124132image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66405
90.1%
1 4240
 
5.8%
2 1173
 
1.6%
3 537
 
0.7%
4 319
 
0.4%
5 184
 
0.2%
6 143
 
0.2%
7 98
 
0.1%
8 65
 
0.1%
10 56
 
0.1%
Other values (122) 443
 
0.6%
ValueCountFrequency (%)
0 66405
90.1%
1 4240
 
5.8%
2 1173
 
1.6%
3 537
 
0.7%
4 319
 
0.4%
ValueCountFrequency (%)
1251 1
< 0.1%
923 1
< 0.1%
908 1
< 0.1%
745 1
< 0.1%
698 1
< 0.1%

V638
Real number (ℝ)

SKEWED  ZEROS 

Distinct125
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.389747906
Minimum0
Maximum1192
Zeros69021
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:15.572140image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1192
Range1192
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.075713744
Coefficient of variation (CV)23.28611291
Kurtosis7801.111361
Mean0.389747906
Median Absolute Deviation (MAD)0
Skewness76.69549862
Sum28710
Variance82.36857997
MonotonicityNot monotonic
2024-03-09T21:17:15.923173image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69021
93.7%
1 2630
 
3.6%
2 800
 
1.1%
3 353
 
0.5%
4 195
 
0.3%
5 138
 
0.2%
6 84
 
0.1%
7 58
 
0.1%
8 40
 
0.1%
9 32
 
< 0.1%
Other values (115) 312
 
0.4%
ValueCountFrequency (%)
0 69021
93.7%
1 2630
 
3.6%
2 800
 
1.1%
3 353
 
0.5%
4 195
 
0.3%
ValueCountFrequency (%)
1192 1
< 0.1%
938 1
< 0.1%
889 1
< 0.1%
668 1
< 0.1%
635 1
< 0.1%

V639
Real number (ℝ)

SKEWED  ZEROS 

Distinct108
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3178257741
Minimum0
Maximum1143
Zeros70132
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:16.273846image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1143
Range1143
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.658531945
Coefficient of variation (CV)27.24301378
Kurtosis8846.343305
Mean0.3178257741
Median Absolute Deviation (MAD)0
Skewness83.2764368
Sum23412
Variance74.97017544
MonotonicityNot monotonic
2024-03-09T21:17:16.625342image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70132
95.2%
1 2093
 
2.8%
2 553
 
0.8%
3 253
 
0.3%
4 144
 
0.2%
5 84
 
0.1%
6 56
 
0.1%
7 43
 
0.1%
8 26
 
< 0.1%
10 23
 
< 0.1%
Other values (98) 256
 
0.3%
ValueCountFrequency (%)
0 70132
95.2%
1 2093
 
2.8%
2 553
 
0.8%
3 253
 
0.3%
4 144
 
0.2%
ValueCountFrequency (%)
1143 1
< 0.1%
1009 1
< 0.1%
832 1
< 0.1%
649 1
< 0.1%
629 1
< 0.1%

V640
Real number (ℝ)

SKEWED  ZEROS 

Distinct111
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2958065786
Minimum0
Maximum1090
Zeros70714
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:16.977332image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1090
Range1090
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.702948349
Coefficient of variation (CV)29.42107775
Kurtosis8893.638434
Mean0.2958065786
Median Absolute Deviation (MAD)0
Skewness85.09970495
Sum21790
Variance75.74130997
MonotonicityNot monotonic
2024-03-09T21:17:18.033000image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70714
96.0%
1 1720
 
2.3%
2 476
 
0.6%
3 208
 
0.3%
4 113
 
0.2%
5 79
 
0.1%
6 34
 
< 0.1%
7 29
 
< 0.1%
8 27
 
< 0.1%
10 20
 
< 0.1%
Other values (101) 243
 
0.3%
ValueCountFrequency (%)
0 70714
96.0%
1 1720
 
2.3%
2 476
 
0.6%
3 208
 
0.3%
4 113
 
0.2%
ValueCountFrequency (%)
1090 1
< 0.1%
1016 1
< 0.1%
840 1
< 0.1%
836 1
< 0.1%
688 1
< 0.1%

V641
Real number (ℝ)

SKEWED  ZEROS 

Distinct274
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.470589034
Minimum0
Maximum22755
Zeros65854
Zeros (%)89.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:18.372403image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum22755
Range22755
Interquartile range (IQR)0

Descriptive statistics

Standard deviation138.4500374
Coefficient of variation (CV)39.89237448
Kurtosis15570.45718
Mean3.470589034
Median Absolute Deviation (MAD)0
Skewness113.8034835
Sum255654
Variance19168.41286
MonotonicityNot monotonic
2024-03-09T21:17:18.690277image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65854
89.4%
1 2878
 
3.9%
2 1284
 
1.7%
3 753
 
1.0%
4 478
 
0.6%
5 344
 
0.5%
6 264
 
0.4%
7 219
 
0.3%
8 149
 
0.2%
9 133
 
0.2%
Other values (264) 1307
 
1.8%
ValueCountFrequency (%)
0 65854
89.4%
1 2878
 
3.9%
2 1284
 
1.7%
3 753
 
1.0%
4 478
 
0.6%
ValueCountFrequency (%)
22755 1
< 0.1%
17298 1
< 0.1%
13714 1
< 0.1%
12769 1
< 0.1%
5277 1
< 0.1%

V642
Real number (ℝ)

SKEWED  ZEROS 

Distinct1155
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.82009964
Minimum0
Maximum35016
Zeros6415
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:18.990536image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median31
Q377
95-th percentile289
Maximum35016
Range35016
Interquartile range (IQR)63

Descriptive statistics

Standard deviation286.7208911
Coefficient of variation (CV)3.592088864
Kurtosis5644.143151
Mean79.82009964
Median Absolute Deviation (MAD)22
Skewness58.33383099
Sum5879788
Variance82208.86938
MonotonicityNot monotonic
2024-03-09T21:17:19.356650image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6415
 
8.7%
16 1276
 
1.7%
18 1249
 
1.7%
17 1227
 
1.7%
19 1214
 
1.6%
15 1213
 
1.6%
14 1206
 
1.6%
13 1204
 
1.6%
12 1193
 
1.6%
20 1180
 
1.6%
Other values (1145) 56286
76.4%
ValueCountFrequency (%)
0 6415
8.7%
1 396
 
0.5%
2 433
 
0.6%
3 610
 
0.8%
4 674
 
0.9%
ValueCountFrequency (%)
35016 1
< 0.1%
29723 1
< 0.1%
23019 1
< 0.1%
21181 1
< 0.1%
11345 1
< 0.1%

V643
Real number (ℝ)

SKEWED  ZEROS 

Distinct113
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5639737725
Minimum0
Maximum944
Zeros68252
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:19.690508image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum944
Range944
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.223081167
Coefficient of variation (CV)12.80747708
Kurtosis5765.327338
Mean0.5639737725
Median Absolute Deviation (MAD)0
Skewness61.44276166
Sum41544
Variance52.17290154
MonotonicityNot monotonic
2024-03-09T21:17:20.010135image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68252
92.7%
1 1976
 
2.7%
2 863
 
1.2%
3 535
 
0.7%
4 357
 
0.5%
5 261
 
0.4%
6 155
 
0.2%
7 143
 
0.2%
8 116
 
0.2%
10 96
 
0.1%
Other values (103) 909
 
1.2%
ValueCountFrequency (%)
0 68252
92.7%
1 1976
 
2.7%
2 863
 
1.2%
3 535
 
0.7%
4 357
 
0.5%
ValueCountFrequency (%)
944 1
< 0.1%
537 1
< 0.1%
526 1
< 0.1%
451 2
< 0.1%
430 1
< 0.1%

V644
Real number (ℝ)

SKEWED  ZEROS 

Distinct254
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.094375738
Minimum0
Maximum1517
Zeros62261
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:20.328407image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum1517
Range1517
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.38393668
Coefficient of variation (CV)8.777764346
Kurtosis2326.181875
Mean2.094375738
Median Absolute Deviation (MAD)0
Skewness38.35714503
Sum154278
Variance337.9691279
MonotonicityNot monotonic
2024-03-09T21:17:20.672529image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62261
84.5%
1 3217
 
4.4%
2 1543
 
2.1%
3 962
 
1.3%
4 738
 
1.0%
5 598
 
0.8%
6 480
 
0.7%
7 378
 
0.5%
8 317
 
0.4%
9 273
 
0.4%
Other values (244) 2896
 
3.9%
ValueCountFrequency (%)
0 62261
84.5%
1 3217
 
4.4%
2 1543
 
2.1%
3 962
 
1.3%
4 738
 
1.0%
ValueCountFrequency (%)
1517 1
< 0.1%
1329 1
< 0.1%
1243 1
< 0.1%
1218 1
< 0.1%
1206 1
< 0.1%

V645
Real number (ℝ)

SKEWED  ZEROS 

Distinct251
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0585097
Minimum0
Maximum1706
Zeros60829
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:21.030318image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum1706
Range1706
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.47566412
Coefficient of variation (CV)8.975262114
Kurtosis2441.018434
Mean2.0585097
Median Absolute Deviation (MAD)0
Skewness39.3645076
Sum151636
Variance341.3501646
MonotonicityNot monotonic
2024-03-09T21:17:21.405715image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60829
82.6%
1 4079
 
5.5%
2 1947
 
2.6%
3 1160
 
1.6%
4 831
 
1.1%
5 626
 
0.8%
6 452
 
0.6%
7 362
 
0.5%
8 296
 
0.4%
9 268
 
0.4%
Other values (241) 2813
 
3.8%
ValueCountFrequency (%)
0 60829
82.6%
1 4079
 
5.5%
2 1947
 
2.6%
3 1160
 
1.6%
4 831
 
1.1%
ValueCountFrequency (%)
1706 1
< 0.1%
1398 1
< 0.1%
1192 1
< 0.1%
1073 1
< 0.1%
1045 1
< 0.1%

V646
Real number (ℝ)

SKEWED  ZEROS 

Distinct173
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.068759079
Minimum0
Maximum2121
Zeros63665
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:21.789182image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum2121
Range2121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.05880103
Coefficient of variation (CV)14.08998654
Kurtosis8870.410093
Mean1.068759079
Median Absolute Deviation (MAD)0
Skewness80.0989526
Sum78728
Variance226.7674885
MonotonicityNot monotonic
2024-03-09T21:17:22.127383image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63665
86.4%
1 4022
 
5.5%
2 1752
 
2.4%
3 947
 
1.3%
4 601
 
0.8%
5 414
 
0.6%
6 299
 
0.4%
7 204
 
0.3%
8 189
 
0.3%
9 175
 
0.2%
Other values (163) 1395
 
1.9%
ValueCountFrequency (%)
0 63665
86.4%
1 4022
 
5.5%
2 1752
 
2.4%
3 947
 
1.3%
4 601
 
0.8%
ValueCountFrequency (%)
2121 1
< 0.1%
1624 1
< 0.1%
1334 1
< 0.1%
1093 1
< 0.1%
995 1
< 0.1%

V647
Real number (ℝ)

SKEWED  ZEROS 

Distinct90
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4380353773
Minimum0
Maximum2140
Zeros67979
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:22.456066image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2140
Range2140
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.62339702
Coefficient of variation (CV)28.81821348
Kurtosis17476.92642
Mean0.4380353773
Median Absolute Deviation (MAD)0
Skewness121.8810793
Sum32267
Variance159.3501522
MonotonicityNot monotonic
2024-03-09T21:17:22.805815image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67979
92.3%
1 2829
 
3.8%
2 983
 
1.3%
3 455
 
0.6%
4 279
 
0.4%
5 238
 
0.3%
6 147
 
0.2%
7 97
 
0.1%
8 79
 
0.1%
9 67
 
0.1%
Other values (80) 510
 
0.7%
ValueCountFrequency (%)
0 67979
92.3%
1 2829
 
3.8%
2 983
 
1.3%
3 455
 
0.6%
4 279
 
0.4%
ValueCountFrequency (%)
2140 1
< 0.1%
1726 1
< 0.1%
1115 1
< 0.1%
887 1
< 0.1%
853 1
< 0.1%

V648
Real number (ℝ)

SKEWED  ZEROS 

Distinct51
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2209114481
Minimum0
Maximum1709
Zeros70846
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:23.138899image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1709
Range1709
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.6766778
Coefficient of variation (CV)48.33012456
Kurtosis15228.51714
Mean0.2209114481
Median Absolute Deviation (MAD)0
Skewness116.3769398
Sum16273
Variance113.9914489
MonotonicityNot monotonic
2024-03-09T21:17:23.488746image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70846
96.2%
1 1520
 
2.1%
2 470
 
0.6%
3 242
 
0.3%
4 165
 
0.2%
5 91
 
0.1%
6 67
 
0.1%
8 37
 
0.1%
7 34
 
< 0.1%
9 22
 
< 0.1%
Other values (41) 169
 
0.2%
ValueCountFrequency (%)
0 70846
96.2%
1 1520
 
2.1%
2 470
 
0.6%
3 242
 
0.3%
4 165
 
0.2%
ValueCountFrequency (%)
1709 1
< 0.1%
1378 1
< 0.1%
1057 1
< 0.1%
827 1
< 0.1%
775 1
< 0.1%

V649
Real number (ℝ)

SKEWED  ZEROS 

Distinct42
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1507133839
Minimum0
Maximum1433
Zeros72019
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:23.857837image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1433
Range1433
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.440666368
Coefficient of variation (CV)62.63986729
Kurtosis14088.71544
Mean0.1507133839
Median Absolute Deviation (MAD)0
Skewness114.0174359
Sum11102
Variance89.12618148
MonotonicityNot monotonic
2024-03-09T21:17:24.222931image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 72019
97.8%
1 954
 
1.3%
2 299
 
0.4%
3 111
 
0.2%
4 79
 
0.1%
5 35
 
< 0.1%
6 33
 
< 0.1%
9 19
 
< 0.1%
8 18
 
< 0.1%
10 16
 
< 0.1%
Other values (32) 80
 
0.1%
ValueCountFrequency (%)
0 72019
97.8%
1 954
 
1.3%
2 299
 
0.4%
3 111
 
0.2%
4 79
 
0.1%
ValueCountFrequency (%)
1433 1
< 0.1%
1151 1
< 0.1%
1016 1
< 0.1%
902 1
< 0.1%
771 1
< 0.1%

V650
Real number (ℝ)

SKEWED  ZEROS 

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1214721095
Minimum0
Maximum1299
Zeros72672
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:24.574628image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1299
Range1299
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.03269162
Coefficient of variation (CV)74.36021042
Kurtosis13652.73806
Mean0.1214721095
Median Absolute Deviation (MAD)0
Skewness113.5982548
Sum8948
Variance81.5895179
MonotonicityNot monotonic
2024-03-09T21:17:24.942337image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 72672
98.7%
1 580
 
0.8%
2 170
 
0.2%
3 67
 
0.1%
4 46
 
0.1%
5 40
 
0.1%
6 16
 
< 0.1%
8 12
 
< 0.1%
7 9
 
< 0.1%
9 8
 
< 0.1%
Other values (26) 43
 
0.1%
ValueCountFrequency (%)
0 72672
98.7%
1 580
 
0.8%
2 170
 
0.2%
3 67
 
0.1%
4 46
 
0.1%
ValueCountFrequency (%)
1299 1
< 0.1%
1055 1
< 0.1%
1050 1
< 0.1%
979 1
< 0.1%
776 1
< 0.1%

V651
Real number (ℝ)

SKEWED  ZEROS 

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.108819896
Minimum0
Maximum1231
Zeros72975
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:25.339156image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1231
Range1231
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.731087731
Coefficient of variation (CV)80.23429585
Kurtosis13484.39967
Mean0.108819896
Median Absolute Deviation (MAD)0
Skewness112.8386465
Sum8016
Variance76.23189297
MonotonicityNot monotonic
2024-03-09T21:17:25.722319image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 72975
99.1%
1 423
 
0.6%
2 89
 
0.1%
3 51
 
0.1%
4 32
 
< 0.1%
5 26
 
< 0.1%
6 10
 
< 0.1%
7 7
 
< 0.1%
10 6
 
< 0.1%
9 6
 
< 0.1%
Other values (24) 38
 
0.1%
ValueCountFrequency (%)
0 72975
99.1%
1 423
 
0.6%
2 89
 
0.1%
3 51
 
0.1%
4 32
 
< 0.1%
ValueCountFrequency (%)
1231 1
< 0.1%
1138 1
< 0.1%
917 1
< 0.1%
883 1
< 0.1%
758 1
< 0.1%

V652
Real number (ℝ)

SKEWED  ZEROS 

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1008104476
Minimum0
Maximum1155
Zeros73106
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:26.055499image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1155
Range1155
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.450185096
Coefficient of variation (CV)83.82251343
Kurtosis13707.8131
Mean0.1008104476
Median Absolute Deviation (MAD)0
Skewness114.0155175
Sum7426
Variance71.40562816
MonotonicityNot monotonic
2024-03-09T21:17:26.389076image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 73106
99.2%
1 332
 
0.5%
2 80
 
0.1%
3 41
 
0.1%
4 31
 
< 0.1%
5 13
 
< 0.1%
6 11
 
< 0.1%
7 8
 
< 0.1%
11 5
 
< 0.1%
9 4
 
< 0.1%
Other values (24) 32
 
< 0.1%
ValueCountFrequency (%)
0 73106
99.2%
1 332
 
0.5%
2 80
 
0.1%
3 41
 
0.1%
4 31
 
< 0.1%
ValueCountFrequency (%)
1155 1
< 0.1%
1141 1
< 0.1%
949 1
< 0.1%
793 1
< 0.1%
779 1
< 0.1%

V653
Real number (ℝ)

SKEWED  ZEROS 

Distinct74
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.600722208
Minimum0
Maximum25584
Zeros72378
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:26.761508image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum25584
Range25584
Interquartile range (IQR)0

Descriptive statistics

Standard deviation175.0980673
Coefficient of variation (CV)109.386917
Kurtosis18567.27855
Mean1.600722208
Median Absolute Deviation (MAD)0
Skewness133.7088316
Sum117914
Variance30659.33318
MonotonicityNot monotonic
2024-03-09T21:17:27.102890image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72378
98.3%
1 562
 
0.8%
2 209
 
0.3%
3 122
 
0.2%
4 66
 
0.1%
5 50
 
0.1%
6 34
 
< 0.1%
7 31
 
< 0.1%
10 21
 
< 0.1%
8 21
 
< 0.1%
Other values (64) 169
 
0.2%
ValueCountFrequency (%)
0 72378
98.3%
1 562
 
0.8%
2 209
 
0.3%
3 122
 
0.2%
4 66
 
0.1%
ValueCountFrequency (%)
25584 1
< 0.1%
25147 1
< 0.1%
25003 1
< 0.1%
15727 1
< 0.1%
8623 1
< 0.1%

V654
Real number (ℝ)

SKEWED  ZEROS 

Distinct479
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.527103159
Minimum0
Maximum37825
Zeros54917
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:27.409070image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile21
Maximum37825
Range37825
Interquartile range (IQR)1

Descriptive statistics

Standard deviation268.0637154
Coefficient of variation (CV)31.43666851
Kurtosis15786.80797
Mean8.527103159
Median Absolute Deviation (MAD)0
Skewness120.7731175
Sum628132
Variance71858.15549
MonotonicityNot monotonic
2024-03-09T21:17:27.763301image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54917
74.6%
1 4485
 
6.1%
2 2372
 
3.2%
3 1409
 
1.9%
4 1089
 
1.5%
5 778
 
1.1%
6 654
 
0.9%
7 578
 
0.8%
8 473
 
0.6%
9 428
 
0.6%
Other values (469) 6480
 
8.8%
ValueCountFrequency (%)
0 54917
74.6%
1 4485
 
6.1%
2 2372
 
3.2%
3 1409
 
1.9%
4 1089
 
1.5%
ValueCountFrequency (%)
37825 1
< 0.1%
37621 1
< 0.1%
35189 1
< 0.1%
23740 1
< 0.1%
17698 1
< 0.1%

V655
Real number (ℝ)

SKEWED  ZEROS 

Distinct267
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.000800945
Minimum0
Maximum2390
Zeros27844
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:28.106878image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile31
Maximum2390
Range2390
Interquartile range (IQR)6

Descriptive statistics

Standard deviation22.12126449
Coefficient of variation (CV)3.159819093
Kurtosis3302.650086
Mean7.000800945
Median Absolute Deviation (MAD)2
Skewness37.34295024
Sum515700
Variance489.3503428
MonotonicityNot monotonic
2024-03-09T21:17:28.438806image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27844
37.8%
1 7168
 
9.7%
2 6245
 
8.5%
3 5048
 
6.9%
4 4011
 
5.4%
5 3025
 
4.1%
6 2352
 
3.2%
7 1841
 
2.5%
8 1602
 
2.2%
9 1272
 
1.7%
Other values (257) 13255
18.0%
ValueCountFrequency (%)
0 27844
37.8%
1 7168
 
9.7%
2 6245
 
8.5%
3 5048
 
6.9%
4 4011
 
5.4%
ValueCountFrequency (%)
2390 1
< 0.1%
2221 1
< 0.1%
759 1
< 0.1%
579 1
< 0.1%
563 1
< 0.1%

V656
Real number (ℝ)

ZEROS 

Distinct568
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.28778355
Minimum0
Maximum2741
Zeros11453
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:28.755615image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q325
95-th percentile111
Maximum2741
Range2741
Interquartile range (IQR)22

Descriptive statistics

Standard deviation59.22272095
Coefficient of variation (CV)2.252860947
Kurtosis221.9024597
Mean26.28778355
Median Absolute Deviation (MAD)8
Skewness10.5278607
Sum1936437
Variance3507.330676
MonotonicityNot monotonic
2024-03-09T21:17:29.073442image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11453
 
15.5%
5 3261
 
4.4%
4 3160
 
4.3%
6 3069
 
4.2%
3 2971
 
4.0%
7 2941
 
4.0%
8 2742
 
3.7%
2 2705
 
3.7%
9 2479
 
3.4%
10 2313
 
3.1%
Other values (558) 36569
49.6%
ValueCountFrequency (%)
0 11453
15.5%
1 2243
 
3.0%
2 2705
 
3.7%
3 2971
 
4.0%
4 3160
 
4.3%
ValueCountFrequency (%)
2741 1
< 0.1%
1702 1
< 0.1%
1663 1
< 0.1%
1629 1
< 0.1%
1609 2
< 0.1%

V657
Real number (ℝ)

ZEROS 

Distinct557
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.03882546
Minimum0
Maximum2256
Zeros11532
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:29.409811image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q324
95-th percentile105
Maximum2256
Range2256
Interquartile range (IQR)21

Descriptive statistics

Standard deviation58.50896397
Coefficient of variation (CV)2.336729574
Kurtosis300.0776909
Mean25.03882546
Median Absolute Deviation (MAD)8
Skewness12.40083718
Sum1844435
Variance3423.298865
MonotonicityNot monotonic
2024-03-09T21:17:29.731133image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11532
 
15.7%
5 3300
 
4.5%
4 3272
 
4.4%
3 3270
 
4.4%
6 3165
 
4.3%
2 3025
 
4.1%
1 2870
 
3.9%
7 2841
 
3.9%
8 2718
 
3.7%
9 2454
 
3.3%
Other values (547) 35216
47.8%
ValueCountFrequency (%)
0 11532
15.7%
1 2870
 
3.9%
2 3025
 
4.1%
3 3270
 
4.4%
4 3272
 
4.4%
ValueCountFrequency (%)
2256 1
< 0.1%
2037 1
< 0.1%
2013 1
< 0.1%
1874 1
< 0.1%
1866 1
< 0.1%

V658
Real number (ℝ)

ZEROS 

Distinct468
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.97735634
Minimum0
Maximum2325
Zeros13319
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:30.056969image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q317
95-th percentile80
Maximum2325
Range2325
Interquartile range (IQR)15

Descriptive statistics

Standard deviation47.41791045
Coefficient of variation (CV)2.498657326
Kurtosis434.6592341
Mean18.97735634
Median Absolute Deviation (MAD)6
Skewness14.77997008
Sum1397929
Variance2248.458231
MonotonicityNot monotonic
2024-03-09T21:17:30.375764image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13319
18.1%
1 4321
 
5.9%
2 4186
 
5.7%
3 4181
 
5.7%
4 4061
 
5.5%
5 3829
 
5.2%
6 3265
 
4.4%
7 2908
 
3.9%
8 2633
 
3.6%
9 2195
 
3.0%
Other values (458) 28765
39.0%
ValueCountFrequency (%)
0 13319
18.1%
1 4321
 
5.9%
2 4186
 
5.7%
3 4181
 
5.7%
4 4061
 
5.5%
ValueCountFrequency (%)
2325 1
< 0.1%
2247 1
< 0.1%
1987 1
< 0.1%
1712 1
< 0.1%
1679 1
< 0.1%

V659
Real number (ℝ)

SKEWED  ZEROS 

Distinct248
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.417645222
Minimum0
Maximum2282
Zeros28456
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:30.695339image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile16
Maximum2282
Range2282
Interquartile range (IQR)4

Descriptive statistics

Standard deviation21.41829396
Coefficient of variation (CV)4.848350848
Kurtosis3657.927261
Mean4.417645222
Median Absolute Deviation (MAD)1
Skewness46.44896902
Sum325417
Variance458.743316
MonotonicityNot monotonic
2024-03-09T21:17:31.014999image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28456
38.6%
1 12718
17.3%
2 8320
 
11.3%
3 5392
 
7.3%
4 3580
 
4.9%
5 2683
 
3.6%
6 1939
 
2.6%
7 1472
 
2.0%
8 1148
 
1.6%
9 927
 
1.3%
Other values (238) 7028
 
9.5%
ValueCountFrequency (%)
0 28456
38.6%
1 12718
17.3%
2 8320
 
11.3%
3 5392
 
7.3%
4 3580
 
4.9%
ValueCountFrequency (%)
2282 1
< 0.1%
1922 1
< 0.1%
1680 1
< 0.1%
1299 1
< 0.1%
1246 1
< 0.1%

V660
Real number (ℝ)

SKEWED  ZEROS 

Distinct165
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.443411211
Minimum0
Maximum2390
Zeros49465
Zeros (%)67.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:31.341845image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum2390
Range2390
Interquartile range (IQR)1

Descriptive statistics

Standard deviation18.80374466
Coefficient of variation (CV)13.0272957
Kurtosis8217.153026
Mean1.443411211
Median Absolute Deviation (MAD)0
Skewness79.89131223
Sum106326
Variance353.5808132
MonotonicityNot monotonic
2024-03-09T21:17:32.459914image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49465
67.2%
1 12193
 
16.6%
2 4843
 
6.6%
3 2327
 
3.2%
4 1260
 
1.7%
5 816
 
1.1%
6 485
 
0.7%
7 348
 
0.5%
8 274
 
0.4%
9 199
 
0.3%
Other values (155) 1453
 
2.0%
ValueCountFrequency (%)
0 49465
67.2%
1 12193
 
16.6%
2 4843
 
6.6%
3 2327
 
3.2%
4 1260
 
1.7%
ValueCountFrequency (%)
2390 1
< 0.1%
2173 1
< 0.1%
1802 1
< 0.1%
1472 1
< 0.1%
1303 1
< 0.1%

V661
Real number (ℝ)

SKEWED  ZEROS 

Distinct141
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7526302214
Minimum0
Maximum2337
Zeros61728
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:32.778322image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2337
Range2337
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.62258954
Coefficient of variation (CV)20.75732425
Kurtosis11223.10521
Mean0.7526302214
Median Absolute Deviation (MAD)0
Skewness94.34857446
Sum55441
Variance244.0653041
MonotonicityNot monotonic
2024-03-09T21:17:33.113430image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61728
83.8%
1 7089
 
9.6%
2 2042
 
2.8%
3 858
 
1.2%
4 495
 
0.7%
5 320
 
0.4%
6 194
 
0.3%
7 139
 
0.2%
8 105
 
0.1%
9 80
 
0.1%
Other values (131) 613
 
0.8%
ValueCountFrequency (%)
0 61728
83.8%
1 7089
 
9.6%
2 2042
 
2.8%
3 858
 
1.2%
4 495
 
0.7%
ValueCountFrequency (%)
2337 1
< 0.1%
1689 1
< 0.1%
1517 1
< 0.1%
1300 1
< 0.1%
1299 1
< 0.1%

V662
Real number (ℝ)

SKEWED  ZEROS 

Distinct138
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5678155926
Minimum0
Maximum2464
Zeros66596
Zeros (%)90.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:33.441580image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2464
Range2464
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.60464138
Coefficient of variation (CV)27.48188247
Kurtosis13395.84124
Mean0.5678155926
Median Absolute Deviation (MAD)0
Skewness104.5344592
Sum41827
Variance243.5048326
MonotonicityNot monotonic
2024-03-09T21:17:33.812407image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66596
90.4%
1 4214
 
5.7%
2 1150
 
1.6%
3 511
 
0.7%
4 270
 
0.4%
5 168
 
0.2%
6 124
 
0.2%
7 98
 
0.1%
8 57
 
0.1%
10 43
 
0.1%
Other values (128) 432
 
0.6%
ValueCountFrequency (%)
0 66596
90.4%
1 4214
 
5.7%
2 1150
 
1.6%
3 511
 
0.7%
4 270
 
0.4%
ValueCountFrequency (%)
2464 1
< 0.1%
1760 1
< 0.1%
1669 1
< 0.1%
1298 1
< 0.1%
1022 1
< 0.1%

V663
Real number (ℝ)

SKEWED  ZEROS 

Distinct130
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4642357764
Minimum0
Maximum2249
Zeros68520
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:33.989813image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2249
Range2249
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.98369396
Coefficient of variation (CV)32.27604318
Kurtosis14054.96471
Mean0.4642357764
Median Absolute Deviation (MAD)0
Skewness109.72218
Sum34197
Variance224.5110848
MonotonicityNot monotonic
2024-03-09T21:17:34.252051image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68520
93.0%
1 3089
 
4.2%
2 832
 
1.1%
3 363
 
0.5%
4 193
 
0.3%
5 130
 
0.2%
6 64
 
0.1%
7 60
 
0.1%
8 38
 
0.1%
9 36
 
< 0.1%
Other values (120) 338
 
0.5%
ValueCountFrequency (%)
0 68520
93.0%
1 3089
 
4.2%
2 832
 
1.1%
3 363
 
0.5%
4 193
 
0.3%
ValueCountFrequency (%)
2249 1
< 0.1%
1847 1
< 0.1%
1830 1
< 0.1%
1344 1
< 0.1%
815 1
< 0.1%

V664
Real number (ℝ)

SKEWED  ZEROS 

Distinct118
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4054138441
Minimum0
Maximum2322
Zeros69588
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:34.589782image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2322
Range2322
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.80517717
Coefficient of variation (CV)36.51867685
Kurtosis15399.77015
Mean0.4054138441
Median Absolute Deviation (MAD)0
Skewness115.416279
Sum29864
Variance219.1932709
MonotonicityNot monotonic
2024-03-09T21:17:34.923401image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69588
94.5%
1 2431
 
3.3%
2 698
 
0.9%
3 273
 
0.4%
4 139
 
0.2%
5 92
 
0.1%
6 53
 
0.1%
8 43
 
0.1%
7 38
 
0.1%
10 25
 
< 0.1%
Other values (108) 283
 
0.4%
ValueCountFrequency (%)
0 69588
94.5%
1 2431
 
3.3%
2 698
 
0.9%
3 273
 
0.4%
4 139
 
0.2%
ValueCountFrequency (%)
2322 1
< 0.1%
1859 1
< 0.1%
1787 1
< 0.1%
1327 1
< 0.1%
617 1
< 0.1%

V665
Real number (ℝ)

SKEWED  ZEROS 

Distinct107
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3843449221
Minimum0
Maximum2163
Zeros70010
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:35.255761image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2163
Range2163
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.80807704
Coefficient of variation (CV)38.52809335
Kurtosis15150.89251
Mean0.3843449221
Median Absolute Deviation (MAD)0
Skewness115.8314185
Sum28312
Variance219.2791456
MonotonicityNot monotonic
2024-03-09T21:17:35.589099image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70010
95.0%
1 2163
 
2.9%
2 632
 
0.9%
3 224
 
0.3%
4 118
 
0.2%
5 79
 
0.1%
6 52
 
0.1%
10 35
 
< 0.1%
7 34
 
< 0.1%
8 29
 
< 0.1%
Other values (97) 287
 
0.4%
ValueCountFrequency (%)
0 70010
95.0%
1 2163
 
2.9%
2 632
 
0.9%
3 224
 
0.3%
4 118
 
0.2%
ValueCountFrequency (%)
2163 1
< 0.1%
2032 1
< 0.1%
1814 1
< 0.1%
1390 1
< 0.1%
551 1
< 0.1%

V666
Real number (ℝ)

SKEWED  ZEROS 

Distinct288
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.898334306
Minimum0
Maximum39691
Zeros63852
Zeros (%)86.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:35.924289image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum39691
Range39691
Interquartile range (IQR)0

Descriptive statistics

Standard deviation246.6744133
Coefficient of variation (CV)50.35883585
Kurtosis18228.9168
Mean4.898334306
Median Absolute Deviation (MAD)0
Skewness128.6296536
Sum360826
Variance60848.26616
MonotonicityNot monotonic
2024-03-09T21:17:36.272493image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63852
86.7%
1 3390
 
4.6%
2 1483
 
2.0%
3 895
 
1.2%
4 637
 
0.9%
5 439
 
0.6%
6 400
 
0.5%
7 275
 
0.4%
8 229
 
0.3%
9 182
 
0.2%
Other values (278) 1881
 
2.6%
ValueCountFrequency (%)
0 63852
86.7%
1 3390
 
4.6%
2 1483
 
2.0%
3 895
 
1.2%
4 637
 
0.9%
ValueCountFrequency (%)
39691 1
< 0.1%
35434 1
< 0.1%
28771 1
< 0.1%
21847 1
< 0.1%
4939 1
< 0.1%

V667
Real number (ℝ)

SKEWED  ZEROS 

Distinct1282
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.6385974
Minimum0
Maximum58792
Zeros6563
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:36.599471image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median32
Q382
95-th percentile345
Maximum58792
Range58792
Interquartile range (IQR)67

Descriptive statistics

Standard deviation428.2600874
Coefficient of variation (CV)4.724919622
Kurtosis11040.2093
Mean90.6385974
Median Absolute Deviation (MAD)23
Skewness90.70767517
Sum6676711
Variance183406.7024
MonotonicityNot monotonic
2024-03-09T21:17:36.951014image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6563
 
8.9%
19 1252
 
1.7%
18 1193
 
1.6%
13 1190
 
1.6%
17 1181
 
1.6%
20 1180
 
1.6%
22 1179
 
1.6%
16 1178
 
1.6%
15 1176
 
1.6%
14 1144
 
1.6%
Other values (1272) 56427
76.6%
ValueCountFrequency (%)
0 6563
8.9%
1 414
 
0.6%
2 459
 
0.6%
3 538
 
0.7%
4 625
 
0.8%
ValueCountFrequency (%)
58792 1
< 0.1%
56234 1
< 0.1%
44496 1
< 0.1%
35490 1
< 0.1%
12311 1
< 0.1%

V668
Real number (ℝ)

SKEWED  ZEROS 

Distinct135
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6537610469
Minimum0
Maximum1107
Zeros68741
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:37.281142image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1107
Range1107
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.85088212
Coefficient of variation (CV)13.53840545
Kurtosis5274.658234
Mean0.6537610469
Median Absolute Deviation (MAD)0
Skewness58.91576004
Sum48158
Variance78.3381143
MonotonicityNot monotonic
2024-03-09T21:17:37.605410image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68741
93.3%
1 1660
 
2.3%
2 772
 
1.0%
3 427
 
0.6%
4 292
 
0.4%
5 225
 
0.3%
6 196
 
0.3%
7 134
 
0.2%
8 112
 
0.2%
10 106
 
0.1%
Other values (125) 998
 
1.4%
ValueCountFrequency (%)
0 68741
93.3%
1 1660
 
2.3%
2 772
 
1.0%
3 427
 
0.6%
4 292
 
0.4%
ValueCountFrequency (%)
1107 1
< 0.1%
729 1
< 0.1%
622 1
< 0.1%
605 1
< 0.1%
582 1
< 0.1%

V669
Real number (ℝ)

SKEWED  ZEROS 

Distinct297
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.357886592
Minimum0
Maximum1899
Zeros63672
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:37.939158image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum1899
Range1899
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.63299201
Coefficient of variation (CV)9.174738128
Kurtosis1852.831543
Mean2.357886592
Median Absolute Deviation (MAD)0
Skewness33.39969321
Sum173689
Variance467.9863435
MonotonicityNot monotonic
2024-03-09T21:17:38.289183image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63672
86.4%
1 2633
 
3.6%
2 1243
 
1.7%
3 834
 
1.1%
4 580
 
0.8%
5 531
 
0.7%
6 380
 
0.5%
7 357
 
0.5%
8 302
 
0.4%
10 232
 
0.3%
Other values (287) 2899
 
3.9%
ValueCountFrequency (%)
0 63672
86.4%
1 2633
 
3.6%
2 1243
 
1.7%
3 834
 
1.1%
4 580
 
0.8%
ValueCountFrequency (%)
1899 1
< 0.1%
1337 1
< 0.1%
1264 1
< 0.1%
1247 1
< 0.1%
1188 2
< 0.1%

V670
Real number (ℝ)

SKEWED  ZEROS 

Distinct278
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.172094539
Minimum0
Maximum2051
Zeros62601
Zeros (%)85.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:38.623983image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum2051
Range2051
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.01418078
Coefficient of variation (CV)9.674616092
Kurtosis2941.890834
Mean2.172094539
Median Absolute Deviation (MAD)0
Skewness41.378362
Sum160003
Variance441.5957937
MonotonicityNot monotonic
2024-03-09T21:17:38.959218image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62601
85.0%
1 3440
 
4.7%
2 1513
 
2.1%
3 960
 
1.3%
4 705
 
1.0%
5 552
 
0.7%
6 380
 
0.5%
7 317
 
0.4%
8 250
 
0.3%
9 238
 
0.3%
Other values (268) 2707
 
3.7%
ValueCountFrequency (%)
0 62601
85.0%
1 3440
 
4.7%
2 1513
 
2.1%
3 960
 
1.3%
4 705
 
1.0%
ValueCountFrequency (%)
2051 1
< 0.1%
1935 1
< 0.1%
1361 1
< 0.1%
1216 1
< 0.1%
1198 1
< 0.1%

V671
Real number (ℝ)

SKEWED  ZEROS 

Distinct169
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9557036776
Minimum0
Maximum2906
Zeros65186
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:39.285176image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2906
Range2906
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.08096125
Coefficient of variation (CV)18.91900353
Kurtosis14048.37991
Mean0.9557036776
Median Absolute Deviation (MAD)0
Skewness105.6179013
Sum70400
Variance326.9211596
MonotonicityNot monotonic
2024-03-09T21:17:39.624011image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65186
88.5%
1 3562
 
4.8%
2 1426
 
1.9%
3 774
 
1.1%
4 483
 
0.7%
5 351
 
0.5%
6 250
 
0.3%
8 180
 
0.2%
7 167
 
0.2%
10 119
 
0.2%
Other values (159) 1165
 
1.6%
ValueCountFrequency (%)
0 65186
88.5%
1 3562
 
4.8%
2 1426
 
1.9%
3 774
 
1.1%
4 483
 
0.7%
ValueCountFrequency (%)
2906 1
< 0.1%
2115 1
< 0.1%
1972 1
< 0.1%
1299 1
< 0.1%
970 1
< 0.1%

V672
Real number (ℝ)

SKEWED  ZEROS 

Distinct76
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3971464643
Minimum0
Maximum3021
Zeros68995
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:39.955714image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3021
Range3021
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.88409175
Coefficient of variation (CV)42.51351394
Kurtosis20255.58854
Mean0.3971464643
Median Absolute Deviation (MAD)0
Skewness134.0097193
Sum29255
Variance285.0725541
MonotonicityNot monotonic
2024-03-09T21:17:40.290395image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68995
93.7%
1 2368
 
3.2%
2 792
 
1.1%
3 376
 
0.5%
4 245
 
0.3%
5 164
 
0.2%
6 104
 
0.1%
7 74
 
0.1%
8 70
 
0.1%
9 56
 
0.1%
Other values (66) 419
 
0.6%
ValueCountFrequency (%)
0 68995
93.7%
1 2368
 
3.2%
2 792
 
1.1%
3 376
 
0.5%
4 245
 
0.3%
ValueCountFrequency (%)
3021 1
< 0.1%
2188 1
< 0.1%
1861 1
< 0.1%
1240 1
< 0.1%
819 1
< 0.1%

V673
Real number (ℝ)

SKEWED  ZEROS 

Distinct49
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2304413342
Minimum0
Maximum2714
Zeros71221
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:40.624084image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2714
Range2714
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.46480284
Coefficient of variation (CV)67.10950052
Kurtosis19548.26139
Mean0.2304413342
Median Absolute Deviation (MAD)0
Skewness132.7888549
Sum16975
Variance239.1601268
MonotonicityNot monotonic
2024-03-09T21:17:40.972315image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 71221
96.7%
1 1378
 
1.9%
2 453
 
0.6%
3 192
 
0.3%
4 112
 
0.2%
5 68
 
0.1%
6 46
 
0.1%
7 39
 
0.1%
8 25
 
< 0.1%
10 21
 
< 0.1%
Other values (39) 108
 
0.1%
ValueCountFrequency (%)
0 71221
96.7%
1 1378
 
1.9%
2 453
 
0.6%
3 192
 
0.3%
4 112
 
0.2%
ValueCountFrequency (%)
2714 1
< 0.1%
1958 1
< 0.1%
1806 1
< 0.1%
1202 1
< 0.1%
759 1
< 0.1%

V674
Real number (ℝ)

SKEWED  ZEROS 

Distinct41
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1904076673
Minimum0
Maximum2645
Zeros72235
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:41.279956image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2645
Range2645
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.44771694
Coefficient of variation (CV)81.12970006
Kurtosis19148.88112
Mean0.1904076673
Median Absolute Deviation (MAD)0
Skewness132.6028978
Sum14026
Variance238.6319587
MonotonicityNot monotonic
2024-03-09T21:17:41.605388image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 72235
98.1%
1 860
 
1.2%
2 226
 
0.3%
3 114
 
0.2%
4 49
 
0.1%
5 38
 
0.1%
6 21
 
< 0.1%
7 18
 
< 0.1%
8 15
 
< 0.1%
9 14
 
< 0.1%
Other values (31) 73
 
0.1%
ValueCountFrequency (%)
0 72235
98.1%
1 860
 
1.2%
2 226
 
0.3%
3 114
 
0.2%
4 49
 
0.1%
ValueCountFrequency (%)
2645 1
< 0.1%
1968 1
< 0.1%
1909 1
< 0.1%
1244 1
< 0.1%
846 1
< 0.1%

V675
Real number (ℝ)

SKEWED  ZEROS 

Distinct37
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1754612221
Minimum0
Maximum2727
Zeros72675
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:41.906712image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2727
Range2727
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.76698536
Coefficient of variation (CV)89.86022768
Kurtosis19557.53758
Mean0.1754612221
Median Absolute Deviation (MAD)0
Skewness134.1621888
Sum12925
Variance248.5978274
MonotonicityNot monotonic
2024-03-09T21:17:42.228957image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 72675
98.7%
1 585
 
0.8%
2 160
 
0.2%
3 76
 
0.1%
5 37
 
0.1%
4 34
 
< 0.1%
6 23
 
< 0.1%
7 11
 
< 0.1%
8 10
 
< 0.1%
11 6
 
< 0.1%
Other values (27) 46
 
0.1%
ValueCountFrequency (%)
0 72675
98.7%
1 585
 
0.8%
2 160
 
0.2%
3 76
 
0.1%
4 34
 
< 0.1%
ValueCountFrequency (%)
2727 1
< 0.1%
1989 1
< 0.1%
1953 1
< 0.1%
1301 1
< 0.1%
853 1
< 0.1%

V676
Real number (ℝ)

SKEWED  ZEROS 

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1639900629
Minimum0
Maximum2558
Zeros72943
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:42.532195image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2558
Range2558
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.58451739
Coefficient of variation (CV)95.03330335
Kurtosis18584.12972
Mean0.1639900629
Median Absolute Deviation (MAD)0
Skewness131.8748729
Sum12080
Variance242.8771823
MonotonicityNot monotonic
2024-03-09T21:17:42.834836image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 72943
99.0%
1 447
 
0.6%
2 96
 
0.1%
3 51
 
0.1%
4 30
 
< 0.1%
5 19
 
< 0.1%
6 13
 
< 0.1%
10 8
 
< 0.1%
8 7
 
< 0.1%
7 6
 
< 0.1%
Other values (25) 43
 
0.1%
ValueCountFrequency (%)
0 72943
99.0%
1 447
 
0.6%
2 96
 
0.1%
3 51
 
0.1%
4 30
 
< 0.1%
ValueCountFrequency (%)
2558 1
< 0.1%
2115 1
< 0.1%
1927 1
< 0.1%
1382 1
< 0.1%
730 1
< 0.1%

V677
Real number (ℝ)

SKEWED  ZEROS 

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1673567463
Minimum0
Maximum2617
Zeros73086
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:43.139792image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2617
Range2617
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.4131296
Coefficient of variation (CV)98.07270975
Kurtosis18368.95145
Mean0.1673567463
Median Absolute Deviation (MAD)0
Skewness131.5843944
Sum12328
Variance269.3908233
MonotonicityNot monotonic
2024-03-09T21:17:43.447423image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 73086
99.2%
1 334
 
0.5%
2 89
 
0.1%
3 43
 
0.1%
4 21
 
< 0.1%
5 20
 
< 0.1%
8 9
 
< 0.1%
7 8
 
< 0.1%
6 7
 
< 0.1%
12 5
 
< 0.1%
Other values (26) 41
 
0.1%
ValueCountFrequency (%)
0 73086
99.2%
1 334
 
0.5%
2 89
 
0.1%
3 43
 
0.1%
4 21
 
< 0.1%
ValueCountFrequency (%)
2617 1
< 0.1%
2323 1
< 0.1%
2021 1
< 0.1%
1492 1
< 0.1%
734 1
< 0.1%

V678
Real number (ℝ)

SKEWED  ZEROS 

Distinct87
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.685649512
Minimum0
Maximum51773
Zeros72109
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:43.772542image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum51773
Range51773
Interquartile range (IQR)0

Descriptive statistics

Standard deviation309.5488122
Coefficient of variation (CV)115.2603163
Kurtosis21402.2453
Mean2.685649512
Median Absolute Deviation (MAD)0
Skewness143.296637
Sum197833
Variance95820.46712
MonotonicityNot monotonic
2024-03-09T21:17:44.106920image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72109
97.9%
1 612
 
0.8%
2 252
 
0.3%
3 139
 
0.2%
4 96
 
0.1%
5 61
 
0.1%
6 53
 
0.1%
7 37
 
0.1%
8 27
 
< 0.1%
9 26
 
< 0.1%
Other values (77) 251
 
0.3%
ValueCountFrequency (%)
0 72109
97.9%
1 612
 
0.8%
2 252
 
0.3%
3 139
 
0.2%
4 96
 
0.1%
ValueCountFrequency (%)
51773 1
< 0.1%
44771 1
< 0.1%
41659 1
< 0.1%
22542 1
< 0.1%
8673 1
< 0.1%

V679
Real number (ℝ)

SKEWED  ZEROS 

Distinct523
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.14989886
Minimum0
Maximum73427
Zeros57041
Zeros (%)77.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:44.422211image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum73427
Range73427
Interquartile range (IQR)0

Descriptive statistics

Standard deviation446.4786994
Coefficient of variation (CV)43.98848751
Kurtosis19644.76884
Mean10.14989886
Median Absolute Deviation (MAD)0
Skewness135.6513108
Sum747672
Variance199343.2291
MonotonicityNot monotonic
2024-03-09T21:17:44.755579image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57041
77.4%
1 4187
 
5.7%
2 1956
 
2.7%
3 1175
 
1.6%
4 827
 
1.1%
5 658
 
0.9%
6 552
 
0.7%
7 477
 
0.6%
8 423
 
0.6%
10 355
 
0.5%
Other values (513) 6012
 
8.2%
ValueCountFrequency (%)
0 57041
77.4%
1 4187
 
5.7%
2 1956
 
2.7%
3 1175
 
1.6%
4 827
 
1.1%
ValueCountFrequency (%)
73427 1
< 0.1%
60691 1
< 0.1%
60486 1
< 0.1%
34419 1
< 0.1%
17227 1
< 0.1%

V680
Real number (ℝ)

SKEWED  ZEROS 

Distinct400
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.99786867
Minimum0
Maximum6105
Zeros24148
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:45.072287image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q312
95-th percentile56
Maximum6105
Range6105
Interquartile range (IQR)12

Descriptive statistics

Standard deviation44.53423423
Coefficient of variation (CV)3.426272057
Kurtosis6510.94509
Mean12.99786867
Median Absolute Deviation (MAD)4
Skewness56.21259038
Sum957462
Variance1983.298019
MonotonicityNot monotonic
2024-03-09T21:17:46.172439image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24148
32.8%
2 4163
 
5.7%
1 4060
 
5.5%
3 3818
 
5.2%
4 3513
 
4.8%
5 3176
 
4.3%
6 2816
 
3.8%
7 2331
 
3.2%
8 2140
 
2.9%
9 1833
 
2.5%
Other values (390) 21665
29.4%
ValueCountFrequency (%)
0 24148
32.8%
1 4060
 
5.5%
2 4163
 
5.7%
3 3818
 
5.2%
4 3513
 
4.8%
ValueCountFrequency (%)
6105 1
< 0.1%
4700 1
< 0.1%
1422 1
< 0.1%
1281 1
< 0.1%
1097 1
< 0.1%

V681
Real number (ℝ)

ZEROS 

Distinct878
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.2322197
Minimum0
Maximum5680
Zeros10000
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:46.499761image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median19
Q348
95-th percentile207
Maximum5680
Range5680
Interquartile range (IQR)41

Descriptive statistics

Standard deviation114.01148
Coefficient of variation (CV)2.269688273
Kurtosis289.7709676
Mean50.2322197
Median Absolute Deviation (MAD)15
Skewness11.98391983
Sum3700256
Variance12998.61757
MonotonicityNot monotonic
2024-03-09T21:17:46.815150image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10000
 
13.6%
11 1827
 
2.5%
9 1808
 
2.5%
8 1787
 
2.4%
12 1767
 
2.4%
13 1715
 
2.3%
10 1705
 
2.3%
7 1651
 
2.2%
14 1618
 
2.2%
6 1578
 
2.1%
Other values (868) 48207
65.4%
ValueCountFrequency (%)
0 10000
13.6%
1 963
 
1.3%
2 964
 
1.3%
3 1063
 
1.4%
4 1267
 
1.7%
ValueCountFrequency (%)
5680 1
< 0.1%
4075 1
< 0.1%
3799 1
< 0.1%
3373 1
< 0.1%
3164 1
< 0.1%

V682
Real number (ℝ)

ZEROS 

Distinct883
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.19302771
Minimum0
Maximum6306
Zeros8579
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:47.138760image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median19
Q350
95-th percentile205
Maximum6306
Range6306
Interquartile range (IQR)42

Descriptive statistics

Standard deviation119.6681168
Coefficient of variation (CV)2.337586233
Kurtosis432.8341618
Mean51.19302771
Median Absolute Deviation (MAD)15
Skewness14.76130484
Sum3771032
Variance14320.45818
MonotonicityNot monotonic
2024-03-09T21:17:47.457707image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8579
 
11.6%
8 1935
 
2.6%
12 1867
 
2.5%
9 1849
 
2.5%
11 1839
 
2.5%
10 1824
 
2.5%
7 1752
 
2.4%
13 1736
 
2.4%
14 1606
 
2.2%
6 1586
 
2.2%
Other values (873) 49090
66.6%
ValueCountFrequency (%)
0 8579
11.6%
1 917
 
1.2%
2 1033
 
1.4%
3 1162
 
1.6%
4 1265
 
1.7%
ValueCountFrequency (%)
6306 1
< 0.1%
5736 1
< 0.1%
4362 1
< 0.1%
3877 1
< 0.1%
3863 1
< 0.1%

V683
Real number (ℝ)

SKEWED  ZEROS 

Distinct765
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.00408618
Minimum0
Maximum6497
Zeros8690
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:47.805727image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median14
Q338
95-th percentile158
Maximum6497
Range6497
Interquartile range (IQR)32

Descriptive statistics

Standard deviation104.5553924
Coefficient of variation (CV)2.613617818
Kurtosis957.3516474
Mean40.00408618
Median Absolute Deviation (MAD)11
Skewness21.91772155
Sum2946821
Variance10931.83009
MonotonicityNot monotonic
2024-03-09T21:17:48.155708image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8690
 
11.8%
7 2448
 
3.3%
5 2331
 
3.2%
6 2306
 
3.1%
8 2293
 
3.1%
9 2238
 
3.0%
10 2190
 
3.0%
11 2081
 
2.8%
4 2057
 
2.8%
12 1901
 
2.6%
Other values (755) 45128
61.3%
ValueCountFrequency (%)
0 8690
11.8%
1 1446
 
2.0%
2 1541
 
2.1%
3 1880
 
2.6%
4 2057
 
2.8%
ValueCountFrequency (%)
6497 1
< 0.1%
6381 1
< 0.1%
6296 1
< 0.1%
6286 1
< 0.1%
4263 1
< 0.1%

V684
Real number (ℝ)

SKEWED  ZEROS 

Distinct434
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.49131857
Minimum0
Maximum7912
Zeros16493
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:48.509790image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39
95-th percentile40
Maximum7912
Range7912
Interquartile range (IQR)8

Descriptive statistics

Standard deviation65.35313316
Coefficient of variation (CV)5.687174431
Kurtosis6976.834281
Mean11.49131857
Median Absolute Deviation (MAD)3
Skewness68.68925247
Sum846485
Variance4271.032014
MonotonicityNot monotonic
2024-03-09T21:17:48.855666image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16493
22.4%
1 8074
11.0%
2 7165
 
9.7%
3 5987
 
8.1%
4 4738
 
6.4%
5 3774
 
5.1%
6 3123
 
4.2%
7 2520
 
3.4%
8 2123
 
2.9%
9 1642
 
2.2%
Other values (424) 18024
24.5%
ValueCountFrequency (%)
0 16493
22.4%
1 8074
11.0%
2 7165
9.7%
3 5987
 
8.1%
4 4738
 
6.4%
ValueCountFrequency (%)
7912 1
< 0.1%
7667 1
< 0.1%
5534 1
< 0.1%
5408 1
< 0.1%
2795 1
< 0.1%

V685
Real number (ℝ)

SKEWED  ZEROS 

Distinct267
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.018313129
Minimum0
Maximum7556
Zeros35802
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:49.214584image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile12
Maximum7556
Range7556
Interquartile range (IQR)2

Descriptive statistics

Standard deviation58.3279967
Coefficient of variation (CV)14.51554292
Kurtosis10468.65864
Mean4.018313129
Median Absolute Deviation (MAD)1
Skewness93.38049815
Sum296001
Variance3402.155199
MonotonicityNot monotonic
2024-03-09T21:17:49.555656image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35802
48.6%
1 12954
 
17.6%
2 7331
 
10.0%
3 4345
 
5.9%
4 2760
 
3.7%
5 1914
 
2.6%
6 1385
 
1.9%
7 1041
 
1.4%
8 824
 
1.1%
9 622
 
0.8%
Other values (257) 4685
 
6.4%
ValueCountFrequency (%)
0 35802
48.6%
1 12954
 
17.6%
2 7331
 
10.0%
3 4345
 
5.9%
4 2760
 
3.7%
ValueCountFrequency (%)
7556 1
< 0.1%
7386 1
< 0.1%
6105 1
< 0.1%
5002 1
< 0.1%
4975 1
< 0.1%

V686
Real number (ℝ)

SKEWED  ZEROS 

Distinct205
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.016521184
Minimum0
Maximum6941
Zeros52951
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:49.906769image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum6941
Range6941
Interquartile range (IQR)1

Descriptive statistics

Standard deviation48.6897529
Coefficient of variation (CV)24.14542098
Kurtosis13465.02334
Mean2.016521184
Median Absolute Deviation (MAD)0
Skewness106.8035229
Sum148543
Variance2370.692038
MonotonicityNot monotonic
2024-03-09T21:17:50.238730image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52951
71.9%
1 10197
 
13.8%
2 3766
 
5.1%
3 1764
 
2.4%
4 1019
 
1.4%
5 718
 
1.0%
6 487
 
0.7%
7 409
 
0.6%
8 283
 
0.4%
9 252
 
0.3%
Other values (195) 1817
 
2.5%
ValueCountFrequency (%)
0 52951
71.9%
1 10197
 
13.8%
2 3766
 
5.1%
3 1764
 
2.4%
4 1019
 
1.4%
ValueCountFrequency (%)
6941 1
< 0.1%
6803 1
< 0.1%
4894 1
< 0.1%
4691 1
< 0.1%
2285 1
< 0.1%

V687
Real number (ℝ)

SKEWED  ZEROS 

Distinct190
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.431831449
Minimum0
Maximum6834
Zeros61575
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:50.572174image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum6834
Range6834
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.70321677
Coefficient of variation (CV)32.61781742
Kurtosis14960.35193
Mean1.431831449
Median Absolute Deviation (MAD)0
Skewness114.5601115
Sum105473
Variance2181.190457
MonotonicityNot monotonic
2024-03-09T21:17:50.907153image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61575
83.6%
1 6321
 
8.6%
2 2027
 
2.8%
3 935
 
1.3%
4 573
 
0.8%
5 365
 
0.5%
6 319
 
0.4%
7 209
 
0.3%
8 182
 
0.2%
9 134
 
0.2%
Other values (180) 1023
 
1.4%
ValueCountFrequency (%)
0 61575
83.6%
1 6321
 
8.6%
2 2027
 
2.8%
3 935
 
1.3%
4 573
 
0.8%
ValueCountFrequency (%)
6834 1
< 0.1%
6655 1
< 0.1%
4921 1
< 0.1%
4698 1
< 0.1%
1799 1
< 0.1%

V688
Real number (ℝ)

SKEWED  ZEROS 

Distinct172
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.150917014
Minimum0
Maximum6762
Zeros65455
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:51.240202image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6762
Range6762
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.77363568
Coefficient of variation (CV)39.77144757
Kurtosis15580.87407
Mean1.150917014
Median Absolute Deviation (MAD)0
Skewness118.4087499
Sum84780
Variance2095.225724
MonotonicityNot monotonic
2024-03-09T21:17:51.578965image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65455
88.9%
1 4296
 
5.8%
2 1349
 
1.8%
3 628
 
0.9%
4 439
 
0.6%
5 268
 
0.4%
6 203
 
0.3%
7 129
 
0.2%
8 104
 
0.1%
10 87
 
0.1%
Other values (162) 705
 
1.0%
ValueCountFrequency (%)
0 65455
88.9%
1 4296
 
5.8%
2 1349
 
1.8%
3 628
 
0.9%
4 439
 
0.6%
ValueCountFrequency (%)
6762 1
< 0.1%
6444 1
< 0.1%
5056 1
< 0.1%
4845 1
< 0.1%
1876 1
< 0.1%

V689
Real number (ℝ)

SKEWED  ZEROS 

Distinct159
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9960495771
Minimum0
Maximum6408
Zeros67277
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:51.915760image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6408
Range6408
Interquartile range (IQR)0

Descriptive statistics

Standard deviation44.8671242
Coefficient of variation (CV)45.04507128
Kurtosis15572.28199
Mean0.9960495771
Median Absolute Deviation (MAD)0
Skewness119.3949494
Sum73372
Variance2013.058834
MonotonicityNot monotonic
2024-03-09T21:17:52.251788image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67277
91.3%
1 3399
 
4.6%
2 1068
 
1.4%
3 508
 
0.7%
4 324
 
0.4%
5 204
 
0.3%
6 110
 
0.1%
7 95
 
0.1%
8 72
 
0.1%
9 63
 
0.1%
Other values (149) 543
 
0.7%
ValueCountFrequency (%)
0 67277
91.3%
1 3399
 
4.6%
2 1068
 
1.4%
3 508
 
0.7%
4 324
 
0.4%
ValueCountFrequency (%)
6408 1
< 0.1%
6309 1
< 0.1%
5209 1
< 0.1%
5008 1
< 0.1%
1652 1
< 0.1%

V690
Real number (ℝ)

SKEWED  ZEROS 

Distinct162
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9483186946
Minimum0
Maximum6408
Zeros68209
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:52.588812image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6408
Range6408
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.62205964
Coefficient of variation (CV)48.10836262
Kurtosis15517.23656
Mean0.9483186946
Median Absolute Deviation (MAD)0
Skewness119.9440302
Sum69856
Variance2081.372326
MonotonicityNot monotonic
2024-03-09T21:17:52.915141image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68209
92.6%
1 2817
 
3.8%
2 947
 
1.3%
3 462
 
0.6%
4 256
 
0.3%
5 169
 
0.2%
6 101
 
0.1%
7 95
 
0.1%
8 67
 
0.1%
9 43
 
0.1%
Other values (152) 497
 
0.7%
ValueCountFrequency (%)
0 68209
92.6%
1 2817
 
3.8%
2 947
 
1.3%
3 462
 
0.6%
4 256
 
0.3%
ValueCountFrequency (%)
6408 1
< 0.1%
6223 1
< 0.1%
5556 1
< 0.1%
5319 1
< 0.1%
1561 1
< 0.1%

V691
Real number (ℝ)

SKEWED  ZEROS 

Distinct367
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.65522718
Minimum0
Maximum122650
Zeros61465
Zeros (%)83.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:53.255867image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum122650
Range122650
Interquartile range (IQR)0

Descriptive statistics

Standard deviation837.1464365
Coefficient of variation (CV)66.15024957
Kurtosis17662.2259
Mean12.65522718
Median Absolute Deviation (MAD)0
Skewness130.3806211
Sum932222
Variance700814.1562
MonotonicityNot monotonic
2024-03-09T21:17:53.608553image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61465
83.4%
1 3720
 
5.1%
2 1707
 
2.3%
3 1005
 
1.4%
4 662
 
0.9%
5 538
 
0.7%
6 481
 
0.7%
7 355
 
0.5%
8 326
 
0.4%
9 268
 
0.4%
Other values (357) 3136
 
4.3%
ValueCountFrequency (%)
0 61465
83.4%
1 3720
 
5.1%
2 1707
 
2.3%
3 1005
 
1.4%
4 662
 
0.9%
ValueCountFrequency (%)
122650 1
< 0.1%
119261 1
< 0.1%
101859 1
< 0.1%
100715 1
< 0.1%
17988 1
< 0.1%

V692
Real number (ℝ)

SKEWED  ZEROS 

Distinct2052
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.1356991
Minimum0
Maximum181632
Zeros5771
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:53.939077image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median67
Q3171
95-th percentile676
Maximum181632
Range181632
Interquartile range (IQR)138

Descriptive statistics

Standard deviation1328.629189
Coefficient of variation (CV)7.024740414
Kurtosis13984.62392
Mean189.1356991
Median Absolute Deviation (MAD)46
Skewness110.5052139
Sum13932303
Variance1765255.522
MonotonicityNot monotonic
2024-03-09T21:17:54.314532image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5771
 
7.8%
40 691
 
0.9%
35 680
 
0.9%
33 667
 
0.9%
38 667
 
0.9%
31 654
 
0.9%
32 654
 
0.9%
39 653
 
0.9%
36 652
 
0.9%
37 650
 
0.9%
Other values (2042) 61924
84.1%
ValueCountFrequency (%)
0 5771
7.8%
1 176
 
0.2%
2 132
 
0.2%
3 147
 
0.2%
4 161
 
0.2%
ValueCountFrequency (%)
181632 1
< 0.1%
178767 1
< 0.1%
154983 1
< 0.1%
151967 1
< 0.1%
36937 1
< 0.1%

V693
Real number (ℝ)

SKEWED  ZEROS 

Distinct204
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.946458874
Minimum0
Maximum12544
Zeros65656
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:54.723435image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum12544
Range12544
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65.49265029
Coefficient of variation (CV)33.64707633
Kurtosis34643.58504
Mean1.946458874
Median Absolute Deviation (MAD)0
Skewness183.378336
Sum143382
Variance4289.287242
MonotonicityNot monotonic
2024-03-09T21:17:55.088936image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65656
89.1%
1 1404
 
1.9%
2 909
 
1.2%
3 614
 
0.8%
4 476
 
0.6%
5 449
 
0.6%
6 393
 
0.5%
8 339
 
0.5%
7 321
 
0.4%
10 253
 
0.3%
Other values (194) 2849
 
3.9%
ValueCountFrequency (%)
0 65656
89.1%
1 1404
 
1.9%
2 909
 
1.2%
3 614
 
0.8%
4 476
 
0.6%
ValueCountFrequency (%)
12544 1
< 0.1%
12209 1
< 0.1%
877 1
< 0.1%
875 1
< 0.1%
416 1
< 0.1%

V694
Real number (ℝ)

SKEWED  ZEROS 

Distinct205
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.942399848
Minimum0
Maximum17656
Zeros66522
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:55.442068image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum17656
Range17656
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90.81582718
Coefficient of variation (CV)46.75444516
Kurtosis35658.98239
Mean1.942399848
Median Absolute Deviation (MAD)0
Skewness187.2485204
Sum143083
Variance8247.514466
MonotonicityNot monotonic
2024-03-09T21:17:55.848945image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66522
90.3%
1 1335
 
1.8%
2 765
 
1.0%
3 549
 
0.7%
4 451
 
0.6%
6 352
 
0.5%
5 350
 
0.5%
8 277
 
0.4%
7 264
 
0.4%
10 222
 
0.3%
Other values (195) 2576
 
3.5%
ValueCountFrequency (%)
0 66522
90.3%
1 1335
 
1.8%
2 765
 
1.0%
3 549
 
0.7%
4 451
 
0.6%
ValueCountFrequency (%)
17656 1
< 0.1%
16900 1
< 0.1%
956 1
< 0.1%
951 1
< 0.1%
599 1
< 0.1%

V695
Real number (ℝ)

SKEWED  ZEROS 

Distinct322
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.888858721
Minimum0
Maximum30200
Zeros65091
Zeros (%)88.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:56.339903image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12
Maximum30200
Range30200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation156.2304545
Coefficient of variation (CV)40.17385709
Kurtosis35297.653
Mean3.888858721
Median Absolute Deviation (MAD)0
Skewness185.8828054
Sum286465
Variance24407.95492
MonotonicityNot monotonic
2024-03-09T21:17:56.739011image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65091
88.4%
1 1159
 
1.6%
2 776
 
1.1%
3 582
 
0.8%
4 430
 
0.6%
5 330
 
0.4%
6 306
 
0.4%
7 241
 
0.3%
8 231
 
0.3%
9 225
 
0.3%
Other values (312) 4292
 
5.8%
ValueCountFrequency (%)
0 65091
88.4%
1 1159
 
1.6%
2 776
 
1.1%
3 582
 
0.8%
4 430
 
0.6%
ValueCountFrequency (%)
30200 1
< 0.1%
29109 1
< 0.1%
1833 1
< 0.1%
1826 1
< 0.1%
940 1
< 0.1%

V696
Real number (ℝ)

SKEWED  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04576245876
Minimum0
Maximum1225
Zeros73332
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:57.091356image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1225
Range1225
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.921163457
Coefficient of variation (CV)129.3891023
Kurtosis37342.87435
Mean0.04576245876
Median Absolute Deviation (MAD)0
Skewness191.9089177
Sum3371
Variance35.06017668
MonotonicityNot monotonic
2024-03-09T21:17:57.454339image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 73332
99.6%
1 193
 
0.3%
2 43
 
0.1%
3 22
 
< 0.1%
4 21
 
< 0.1%
7 8
 
< 0.1%
5 8
 
< 0.1%
6 6
 
< 0.1%
8 4
 
< 0.1%
13 3
 
< 0.1%
Other values (15) 23
 
< 0.1%
ValueCountFrequency (%)
0 73332
99.6%
1 193
 
0.3%
2 43
 
0.1%
3 22
 
< 0.1%
4 21
 
< 0.1%
ValueCountFrequency (%)
1225 1
< 0.1%
1031 1
< 0.1%
63 1
< 0.1%
57 1
< 0.1%
49 1
< 0.1%

V697
Real number (ℝ)

SKEWED  ZEROS 

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1757734548
Minimum0
Maximum1922
Zeros72980
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:57.792308image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1922
Range1922
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.121702039
Coefficient of variation (CV)46.20550952
Kurtosis44157.61147
Mean0.1757734548
Median Absolute Deviation (MAD)0
Skewness196.0339331
Sum12948
Variance65.962044
MonotonicityNot monotonic
2024-03-09T21:17:58.187288image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72980
99.1%
1 143
 
0.2%
2 69
 
0.1%
3 54
 
0.1%
4 27
 
< 0.1%
5 20
 
< 0.1%
10 17
 
< 0.1%
9 16
 
< 0.1%
16 16
 
< 0.1%
6 15
 
< 0.1%
Other values (67) 306
 
0.4%
ValueCountFrequency (%)
0 72980
99.1%
1 143
 
0.2%
2 69
 
0.1%
3 54
 
0.1%
4 27
 
< 0.1%
ValueCountFrequency (%)
1922 1
< 0.1%
844 1
< 0.1%
182 1
< 0.1%
150 1
< 0.1%
137 1
< 0.1%

V698
Real number (ℝ)

SKEWED  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.031725561
Minimum0
Maximum60
Zeros72737
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:58.489193image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum60
Range60
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4956279949
Coefficient of variation (CV)15.62235558
Kurtosis3892.315802
Mean0.031725561
Median Absolute Deviation (MAD)0
Skewness47.15331536
Sum2337
Variance0.2456471093
MonotonicityNot monotonic
2024-03-09T21:17:58.788959image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 72737
98.7%
1 497
 
0.7%
2 187
 
0.3%
3 91
 
0.1%
4 42
 
0.1%
5 32
 
< 0.1%
6 17
 
< 0.1%
7 12
 
< 0.1%
8 10
 
< 0.1%
9 6
 
< 0.1%
Other values (14) 32
 
< 0.1%
ValueCountFrequency (%)
0 72737
98.7%
1 497
 
0.7%
2 187
 
0.3%
3 91
 
0.1%
4 42
 
0.1%
ValueCountFrequency (%)
60 1
< 0.1%
33 1
< 0.1%
31 1
< 0.1%
27 1
< 0.1%
21 1
< 0.1%

V699
Real number (ℝ)

SKEWED  ZEROS 

Distinct236
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.718542552
Minimum0
Maximum6869
Zeros53012
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:59.105431image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile18
Maximum6869
Range6869
Interquartile range (IQR)1

Descriptive statistics

Standard deviation32.74338208
Coefficient of variation (CV)8.805434285
Kurtosis29280.03746
Mean3.718542552
Median Absolute Deviation (MAD)0
Skewness151.1436042
Sum273919
Variance1072.12907
MonotonicityNot monotonic
2024-03-09T21:17:59.470602image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53012
72.0%
1 3486
 
4.7%
2 2481
 
3.4%
3 1879
 
2.6%
4 1439
 
2.0%
5 1243
 
1.7%
6 1012
 
1.4%
7 855
 
1.2%
8 672
 
0.9%
9 624
 
0.8%
Other values (226) 6960
 
9.4%
ValueCountFrequency (%)
0 53012
72.0%
1 3486
 
4.7%
2 2481
 
3.4%
3 1879
 
2.6%
4 1439
 
2.0%
ValueCountFrequency (%)
6869 1
< 0.1%
4006 1
< 0.1%
866 1
< 0.1%
508 1
< 0.1%
445 1
< 0.1%

V700
Real number (ℝ)

SKEWED  ZEROS 

Distinct224
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.204322387
Minimum0
Maximum11126
Zeros55244
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:17:59.827387image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile15
Maximum11126
Range11126
Interquartile range (IQR)1

Descriptive statistics

Standard deviation47.96564613
Coefficient of variation (CV)14.96904504
Kurtosis42066.62122
Mean3.204322387
Median Absolute Deviation (MAD)0
Skewness192.9936634
Sum236040
Variance2300.703208
MonotonicityNot monotonic
2024-03-09T21:18:00.183060image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55244
75.0%
1 3843
 
5.2%
2 2373
 
3.2%
3 1574
 
2.1%
4 1242
 
1.7%
5 1070
 
1.5%
6 850
 
1.2%
7 708
 
1.0%
8 639
 
0.9%
9 527
 
0.7%
Other values (214) 5593
 
7.6%
ValueCountFrequency (%)
0 55244
75.0%
1 3843
 
5.2%
2 2373
 
3.2%
3 1574
 
2.1%
4 1242
 
1.7%
ValueCountFrequency (%)
11126 1
< 0.1%
5756 1
< 0.1%
908 1
< 0.1%
405 1
< 0.1%
372 1
< 0.1%

V701
Real number (ℝ)

SKEWED  ZEROS 

Distinct372
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.922864939
Minimum0
Maximum17995
Zeros51418
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:01.297979image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile32
Maximum17995
Range17995
Interquartile range (IQR)2

Descriptive statistics

Standard deviation80.19085033
Coefficient of variation (CV)11.58347751
Kurtosis37349.5638
Mean6.922864939
Median Absolute Deviation (MAD)0
Skewness178.2053879
Sum509959
Variance6430.572476
MonotonicityNot monotonic
2024-03-09T21:18:01.655444image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51418
69.8%
1 2973
 
4.0%
2 2064
 
2.8%
3 1574
 
2.1%
4 1293
 
1.8%
5 1079
 
1.5%
6 890
 
1.2%
7 870
 
1.2%
8 718
 
1.0%
9 623
 
0.8%
Other values (362) 10161
 
13.8%
ValueCountFrequency (%)
0 51418
69.8%
1 2973
 
4.0%
2 2064
 
2.8%
3 1574
 
2.1%
4 1293
 
1.8%
ValueCountFrequency (%)
17995 1
< 0.1%
9762 1
< 0.1%
1774 1
< 0.1%
749 1
< 0.1%
734 1
< 0.1%

V702
Real number (ℝ)

SKEWED  ZEROS 

Distinct48
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07661919824
Minimum0
Maximum727
Zeros72663
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:01.992117image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum727
Range727
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.184862876
Coefficient of variation (CV)41.5674263
Kurtosis39179.50045
Mean0.07661919824
Median Absolute Deviation (MAD)0
Skewness183.0556504
Sum5644
Variance10.14335154
MonotonicityNot monotonic
2024-03-09T21:18:02.355901image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 72663
98.6%
1 504
 
0.7%
2 151
 
0.2%
3 70
 
0.1%
4 47
 
0.1%
5 34
 
< 0.1%
6 23
 
< 0.1%
8 17
 
< 0.1%
7 16
 
< 0.1%
18 12
 
< 0.1%
Other values (38) 126
 
0.2%
ValueCountFrequency (%)
0 72663
98.6%
1 504
 
0.7%
2 151
 
0.2%
3 70
 
0.1%
4 47
 
0.1%
ValueCountFrequency (%)
727 1
< 0.1%
364 1
< 0.1%
80 1
< 0.1%
77 1
< 0.1%
67 1
< 0.1%

V703
Real number (ℝ)

SKEWED  ZEROS 

Distinct75
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1970052808
Minimum0
Maximum995
Zeros72029
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:02.736585image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum995
Range995
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.41648611
Coefficient of variation (CV)22.41811028
Kurtosis35155.63005
Mean0.1970052808
Median Absolute Deviation (MAD)0
Skewness161.3992891
Sum14512
Variance19.50534956
MonotonicityNot monotonic
2024-03-09T21:18:03.273322image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72029
97.8%
1 454
 
0.6%
2 214
 
0.3%
3 154
 
0.2%
4 103
 
0.1%
5 81
 
0.1%
6 62
 
0.1%
7 59
 
0.1%
8 59
 
0.1%
9 41
 
0.1%
Other values (65) 407
 
0.6%
ValueCountFrequency (%)
0 72029
97.8%
1 454
 
0.6%
2 214
 
0.3%
3 154
 
0.2%
4 103
 
0.1%
ValueCountFrequency (%)
995 1
< 0.1%
217 1
< 0.1%
214 1
< 0.1%
121 1
< 0.1%
120 1
< 0.1%

V704
Real number (ℝ)

SKEWED  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05439637267
Minimum0
Maximum40
Zeros71679
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:03.589302image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5100738286
Coefficient of variation (CV)9.376982391
Kurtosis1284.221144
Mean0.05439637267
Median Absolute Deviation (MAD)0
Skewness26.83346494
Sum4007
Variance0.2601753107
MonotonicityNot monotonic
2024-03-09T21:18:03.922359image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 71679
97.3%
1 1189
 
1.6%
2 379
 
0.5%
3 183
 
0.2%
4 99
 
0.1%
5 51
 
0.1%
6 25
 
< 0.1%
8 13
 
< 0.1%
7 10
 
< 0.1%
9 6
 
< 0.1%
Other values (14) 29
 
< 0.1%
ValueCountFrequency (%)
0 71679
97.3%
1 1189
 
1.6%
2 379
 
0.5%
3 183
 
0.2%
4 99
 
0.1%
ValueCountFrequency (%)
40 1
< 0.1%
34 1
< 0.1%
28 1
< 0.1%
23 1
< 0.1%
22 2
< 0.1%

V705
Real number (ℝ)

ZEROS 

Distinct212
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.727095014
Minimum0
Maximum773
Zeros55520
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:04.331629image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14
Maximum773
Range773
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.16181233
Coefficient of variation (CV)4.459621785
Kurtosis420.4871257
Mean2.727095014
Median Absolute Deviation (MAD)0
Skewness14.77881025
Sum200886
Variance147.9096792
MonotonicityNot monotonic
2024-03-09T21:18:04.787519image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55520
75.4%
1 3525
 
4.8%
2 2290
 
3.1%
3 1701
 
2.3%
4 1325
 
1.8%
5 1106
 
1.5%
6 877
 
1.2%
7 743
 
1.0%
8 674
 
0.9%
9 563
 
0.8%
Other values (202) 5339
 
7.2%
ValueCountFrequency (%)
0 55520
75.4%
1 3525
 
4.8%
2 2290
 
3.1%
3 1701
 
2.3%
4 1325
 
1.8%
ValueCountFrequency (%)
773 1
< 0.1%
390 1
< 0.1%
384 1
< 0.1%
340 1
< 0.1%
336 1
< 0.1%

V706
Real number (ℝ)

ZEROS 

Distinct211
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.327111304
Minimum0
Maximum864
Zeros57729
Zeros (%)78.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:05.155741image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum864
Range864
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.60855598
Coefficient of variation (CV)4.9883974
Kurtosis604.1902554
Mean2.327111304
Median Absolute Deviation (MAD)0
Skewness16.58019625
Sum171422
Variance134.7585719
MonotonicityNot monotonic
2024-03-09T21:18:05.528061image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57729
78.4%
1 3686
 
5.0%
2 2109
 
2.9%
3 1456
 
2.0%
4 1165
 
1.6%
5 869
 
1.2%
6 728
 
1.0%
7 607
 
0.8%
8 538
 
0.7%
9 465
 
0.6%
Other values (201) 4311
 
5.9%
ValueCountFrequency (%)
0 57729
78.4%
1 3686
 
5.0%
2 2109
 
2.9%
3 1456
 
2.0%
4 1165
 
1.6%
ValueCountFrequency (%)
864 1
< 0.1%
391 2
< 0.1%
343 1
< 0.1%
330 1
< 0.1%
305 1
< 0.1%

V707
Real number (ℝ)

ZEROS 

Distinct336
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.054206318
Minimum0
Maximum1637
Zeros53930
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:05.867757image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile25
Maximum1637
Range1637
Interquartile range (IQR)1

Descriptive statistics

Standard deviation23.40674555
Coefficient of variation (CV)4.631141682
Kurtosis500.5671351
Mean5.054206318
Median Absolute Deviation (MAD)0
Skewness15.43718302
Sum372308
Variance547.8757372
MonotonicityNot monotonic
2024-03-09T21:18:06.243713image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53930
73.2%
1 3008
 
4.1%
2 2026
 
2.8%
3 1525
 
2.1%
4 1189
 
1.6%
5 1014
 
1.4%
6 834
 
1.1%
7 692
 
0.9%
8 636
 
0.9%
9 581
 
0.8%
Other values (326) 8228
 
11.2%
ValueCountFrequency (%)
0 53930
73.2%
1 3008
 
4.1%
2 2026
 
2.8%
3 1525
 
2.1%
4 1189
 
1.6%
ValueCountFrequency (%)
1637 1
< 0.1%
683 1
< 0.1%
667 1
< 0.1%
641 1
< 0.1%
597 1
< 0.1%

V708
Real number (ℝ)

SKEWED  ZEROS 

Distinct48
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06022019196
Minimum0
Maximum104
Zeros72876
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:06.722352image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum104
Range104
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.202856415
Coefficient of variation (CV)19.9743039
Kurtosis2081.130889
Mean0.06022019196
Median Absolute Deviation (MAD)0
Skewness39.01002652
Sum4436
Variance1.446863556
MonotonicityNot monotonic
2024-03-09T21:18:07.072063image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 72876
98.9%
1 376
 
0.5%
2 106
 
0.1%
3 56
 
0.1%
5 31
 
< 0.1%
4 24
 
< 0.1%
6 23
 
< 0.1%
7 20
 
< 0.1%
8 14
 
< 0.1%
10 14
 
< 0.1%
Other values (38) 123
 
0.2%
ValueCountFrequency (%)
0 72876
98.9%
1 376
 
0.5%
2 106
 
0.1%
3 56
 
0.1%
4 24
 
< 0.1%
ValueCountFrequency (%)
104 1
< 0.1%
82 1
< 0.1%
77 1
< 0.1%
66 1
< 0.1%
64 1
< 0.1%

V709
Real number (ℝ)

SKEWED  ZEROS 

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1565779292
Minimum0
Maximum192
Zeros72124
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:07.410612image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum192
Range192
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.089386244
Coefficient of variation (CV)13.34406614
Kurtosis1664.514893
Mean0.1565779292
Median Absolute Deviation (MAD)0
Skewness31.82076021
Sum11534
Variance4.365534878
MonotonicityNot monotonic
2024-03-09T21:18:07.781339image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72124
97.9%
1 413
 
0.6%
2 232
 
0.3%
3 148
 
0.2%
4 130
 
0.2%
5 88
 
0.1%
6 54
 
0.1%
7 49
 
0.1%
8 48
 
0.1%
10 38
 
0.1%
Other values (57) 339
 
0.5%
ValueCountFrequency (%)
0 72124
97.9%
1 413
 
0.6%
2 232
 
0.3%
3 148
 
0.2%
4 130
 
0.2%
ValueCountFrequency (%)
192 1
< 0.1%
100 2
< 0.1%
99 1
< 0.1%
95 1
< 0.1%
90 1
< 0.1%

V710
Real number (ℝ)

SKEWED  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04030517356
Minimum0
Maximum45
Zeros72192
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:08.105543image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4688634543
Coefficient of variation (CV)11.63283551
Kurtosis2303.378345
Mean0.04030517356
Median Absolute Deviation (MAD)0
Skewness36.47349862
Sum2969
Variance0.2198329388
MonotonicityNot monotonic
2024-03-09T21:18:08.524770image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 72192
98.0%
1 921
 
1.3%
2 268
 
0.4%
3 115
 
0.2%
4 63
 
0.1%
5 35
 
< 0.1%
8 15
 
< 0.1%
6 14
 
< 0.1%
7 11
 
< 0.1%
9 8
 
< 0.1%
Other values (14) 21
 
< 0.1%
ValueCountFrequency (%)
0 72192
98.0%
1 921
 
1.3%
2 268
 
0.4%
3 115
 
0.2%
4 63
 
0.1%
ValueCountFrequency (%)
45 1
< 0.1%
34 1
< 0.1%
33 1
< 0.1%
23 1
< 0.1%
22 2
< 0.1%

V711
Real number (ℝ)

SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005158627805
Minimum0
Maximum14
Zeros73659
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:08.888768image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07919358818
Coefficient of variation (CV)153.5167707
Kurtosis25464.26752
Mean0.0005158627805
Median Absolute Deviation (MAD)0
Skewness158.6251788
Sum38
Variance0.006271624409
MonotonicityNot monotonic
2024-03-09T21:18:09.128914image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 73659
> 99.9%
11 1
 
< 0.1%
12 1
 
< 0.1%
1 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
0 73659
> 99.9%
1 1
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
1 1
 
< 0.1%
0 73659
> 99.9%

V712
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004072600899
Minimum0
Maximum12
Zeros73660
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:09.451398image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06466138328
Coefficient of variation (CV)158.7717159
Kurtosis27044.33648
Mean0.0004072600899
Median Absolute Deviation (MAD)0
Skewness162.6776461
Sum30
Variance0.004181094488
MonotonicityNot monotonic
2024-03-09T21:18:09.855647image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 73660
> 99.9%
8 1
 
< 0.1%
10 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 73660
> 99.9%
8 1
 
< 0.1%
10 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
10 1
 
< 0.1%
8 1
 
< 0.1%
0 73660
> 99.9%

V713
Real number (ℝ)

SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0009231228704
Minimum0
Maximum26
Zeros73659
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:10.109892image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1437396613
Coefficient of variation (CV)155.7102157
Kurtosis26121.80331
Mean0.0009231228704
Median Absolute Deviation (MAD)0
Skewness160.3597457
Sum68
Variance0.02066109022
MonotonicityNot monotonic
2024-03-09T21:18:10.343750image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 73659
> 99.9%
19 1
 
< 0.1%
22 1
 
< 0.1%
1 1
 
< 0.1%
26 1
 
< 0.1%
ValueCountFrequency (%)
0 73659
> 99.9%
1 1
 
< 0.1%
19 1
 
< 0.1%
22 1
 
< 0.1%
26 1
 
< 0.1%
ValueCountFrequency (%)
26 1
 
< 0.1%
22 1
 
< 0.1%
19 1
 
< 0.1%
1 1
 
< 0.1%
0 73659
> 99.9%

V714
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros73663
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:10.572206image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-09T21:18:10.788839image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%

V715
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros73663
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:11.014045image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-09T21:18:11.239059image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%

V716
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros73663
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:11.465620image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-09T21:18:11.690528image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%

V717
Real number (ℝ)

SKEWED  ZEROS 

Distinct423
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.392612302
Minimum0
Maximum19413
Zeros49230
Zeros (%)66.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:12.200236image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile39
Maximum19413
Range19413
Interquartile range (IQR)3

Descriptive statistics

Standard deviation98.75568213
Coefficient of variation (CV)11.76697774
Kurtosis30089.44616
Mean8.392612302
Median Absolute Deviation (MAD)0
Skewness163.5660425
Sum618225
Variance9752.684753
MonotonicityNot monotonic
2024-03-09T21:18:12.657190image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49230
66.8%
1 3199
 
4.3%
2 2183
 
3.0%
3 1655
 
2.2%
4 1370
 
1.9%
5 1147
 
1.6%
6 970
 
1.3%
7 871
 
1.2%
8 751
 
1.0%
9 662
 
0.9%
Other values (413) 11625
 
15.8%
ValueCountFrequency (%)
0 49230
66.8%
1 3199
 
4.3%
2 2183
 
3.0%
3 1655
 
2.2%
4 1370
 
1.9%
ValueCountFrequency (%)
19413 1
< 0.1%
16215 1
< 0.1%
2514 1
< 0.1%
956 1
< 0.1%
954 1
< 0.1%

V718
Real number (ℝ)

SKEWED  ZEROS 

Distinct403
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.474240799
Minimum0
Maximum28782
Zeros51512
Zeros (%)69.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:13.085518image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile33
Maximum28782
Range28782
Interquartile range (IQR)2

Descriptive statistics

Standard deviation138.6312753
Coefficient of variation (CV)18.54787382
Kurtosis34870.1445
Mean7.474240799
Median Absolute Deviation (MAD)0
Skewness180.8266072
Sum550575
Variance19218.63049
MonotonicityNot monotonic
2024-03-09T21:18:13.472481image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51512
69.9%
1 3657
 
5.0%
2 2262
 
3.1%
3 1660
 
2.3%
4 1240
 
1.7%
5 1017
 
1.4%
6 862
 
1.2%
7 756
 
1.0%
9 573
 
0.8%
8 569
 
0.8%
Other values (393) 9555
 
13.0%
ValueCountFrequency (%)
0 51512
69.9%
1 3657
 
5.0%
2 2262
 
3.1%
3 1660
 
2.3%
4 1240
 
1.7%
ValueCountFrequency (%)
28782 1
< 0.1%
22656 1
< 0.1%
2723 1
< 0.1%
1237 1
< 0.1%
1174 1
< 0.1%

V719
Real number (ℝ)

SKEWED  ZEROS 

Distinct643
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.8668531
Minimum0
Maximum48195
Zeros47811
Zeros (%)64.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:13.772538image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile71
Maximum48195
Range48195
Interquartile range (IQR)5

Descriptive statistics

Standard deviation236.8394242
Coefficient of variation (CV)14.92667908
Kurtosis33085.37931
Mean15.8668531
Median Absolute Deviation (MAD)0
Skewness174.5677024
Sum1168800
Variance56092.91287
MonotonicityNot monotonic
2024-03-09T21:18:14.090069image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47811
64.9%
1 2700
 
3.7%
2 1930
 
2.6%
3 1383
 
1.9%
4 1217
 
1.7%
5 1042
 
1.4%
6 904
 
1.2%
7 786
 
1.1%
8 701
 
1.0%
9 619
 
0.8%
Other values (633) 14570
 
19.8%
ValueCountFrequency (%)
0 47811
64.9%
1 2700
 
3.7%
2 1930
 
2.6%
3 1383
 
1.9%
4 1217
 
1.7%
ValueCountFrequency (%)
48195 1
< 0.1%
38871 1
< 0.1%
5237 1
< 0.1%
2193 1
< 0.1%
2128 1
< 0.1%

V720
Real number (ℝ)

SKEWED  ZEROS 

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.182601849
Minimum0
Maximum1952
Zeros72194
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:14.577091image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1952
Range1952
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.151289233
Coefficient of variation (CV)50.11608199
Kurtosis35425.79229
Mean0.182601849
Median Absolute Deviation (MAD)0
Skewness180.3922564
Sum13451
Variance83.74609463
MonotonicityNot monotonic
2024-03-09T21:18:15.026313image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72194
98.0%
1 686
 
0.9%
2 217
 
0.3%
3 115
 
0.2%
4 65
 
0.1%
5 49
 
0.1%
6 38
 
0.1%
7 35
 
< 0.1%
9 23
 
< 0.1%
8 14
 
< 0.1%
Other values (67) 227
 
0.3%
ValueCountFrequency (%)
0 72194
98.0%
1 686
 
0.9%
2 217
 
0.3%
3 115
 
0.2%
4 65
 
0.1%
ValueCountFrequency (%)
1952 1
< 0.1%
1395 1
< 0.1%
159 1
< 0.1%
157 1
< 0.1%
149 1
< 0.1%

V721
Real number (ℝ)

SKEWED  ZEROS 

Distinct142
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5293566648
Minimum0
Maximum2917
Zeros71497
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:15.440624image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2917
Range2917
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.18030769
Coefficient of variation (CV)24.89872815
Kurtosis33219.78781
Mean0.5293566648
Median Absolute Deviation (MAD)0
Skewness158.2175625
Sum38994
Variance173.7205108
MonotonicityNot monotonic
2024-03-09T21:18:15.769726image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71497
97.1%
1 557
 
0.8%
2 266
 
0.4%
3 159
 
0.2%
4 131
 
0.2%
5 92
 
0.1%
7 72
 
0.1%
6 60
 
0.1%
8 52
 
0.1%
11 49
 
0.1%
Other values (132) 728
 
1.0%
ValueCountFrequency (%)
0 71497
97.1%
1 557
 
0.8%
2 266
 
0.4%
3 159
 
0.2%
4 131
 
0.2%
ValueCountFrequency (%)
2917 1
< 0.1%
1061 1
< 0.1%
588 1
< 0.1%
360 1
< 0.1%
355 1
< 0.1%

V722
Real number (ℝ)

SKEWED  ZEROS 

Distinct44
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1264271072
Minimum0
Maximum94
Zeros70609
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:16.073828image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum94
Range94
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.195536123
Coefficient of variation (CV)9.456327438
Kurtosis1541.512155
Mean0.1264271072
Median Absolute Deviation (MAD)0
Skewness30.82191791
Sum9313
Variance1.429306621
MonotonicityNot monotonic
2024-03-09T21:18:16.384818image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 70609
95.9%
1 1467
 
2.0%
2 601
 
0.8%
3 312
 
0.4%
4 191
 
0.3%
5 119
 
0.2%
6 78
 
0.1%
7 64
 
0.1%
8 55
 
0.1%
9 26
 
< 0.1%
Other values (34) 141
 
0.2%
ValueCountFrequency (%)
0 70609
95.9%
1 1467
 
2.0%
2 601
 
0.8%
3 312
 
0.4%
4 191
 
0.3%
ValueCountFrequency (%)
94 1
< 0.1%
78 1
< 0.1%
73 1
< 0.1%
66 1
< 0.1%
59 1
< 0.1%

V723
Real number (ℝ)

SKEWED  ZEROS 

Distinct145
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.421921453
Minimum0
Maximum15491
Zeros56173
Zeros (%)76.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:16.675183image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum15491
Range15491
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58.20177993
Coefficient of variation (CV)40.9317827
Kurtosis68141.26719
Mean1.421921453
Median Absolute Deviation (MAD)0
Skewness256.8394592
Sum104743
Variance3387.447187
MonotonicityNot monotonic
2024-03-09T21:18:17.005502image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56173
76.3%
1 7181
 
9.7%
2 3411
 
4.6%
3 1783
 
2.4%
4 1058
 
1.4%
5 749
 
1.0%
6 492
 
0.7%
7 397
 
0.5%
8 341
 
0.5%
10 251
 
0.3%
Other values (135) 1827
 
2.5%
ValueCountFrequency (%)
0 56173
76.3%
1 7181
 
9.7%
2 3411
 
4.6%
3 1783
 
2.4%
4 1058
 
1.4%
ValueCountFrequency (%)
15491 1
< 0.1%
2330 1
< 0.1%
497 1
< 0.1%
464 1
< 0.1%
435 1
< 0.1%

V724
Real number (ℝ)

SKEWED  ZEROS 

Distinct130
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.264759784
Minimum0
Maximum25049
Zeros59415
Zeros (%)80.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:17.322178image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum25049
Range25049
Interquartile range (IQR)0

Descriptive statistics

Standard deviation93.2915118
Coefficient of variation (CV)73.76223766
Kurtosis70562.84586
Mean1.264759784
Median Absolute Deviation (MAD)0
Skewness263.2531383
Sum93166
Variance8703.306174
MonotonicityNot monotonic
2024-03-09T21:18:17.639158image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59415
80.7%
1 6644
 
9.0%
2 2752
 
3.7%
3 1334
 
1.8%
4 766
 
1.0%
5 528
 
0.7%
6 379
 
0.5%
7 263
 
0.4%
8 230
 
0.3%
10 161
 
0.2%
Other values (120) 1191
 
1.6%
ValueCountFrequency (%)
0 59415
80.7%
1 6644
 
9.0%
2 2752
 
3.7%
3 1334
 
1.8%
4 766
 
1.0%
ValueCountFrequency (%)
25049 1
< 0.1%
3062 1
< 0.1%
570 1
< 0.1%
493 1
< 0.1%
481 1
< 0.1%

V725
Real number (ℝ)

SKEWED  ZEROS 

Distinct200
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.686681238
Minimum0
Maximum40540
Zeros52457
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:17.940064image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum40540
Range40540
Interquartile range (IQR)1

Descriptive statistics

Standard deviation151.4148641
Coefficient of variation (CV)56.3575842
Kurtosis69767.89259
Mean2.686681238
Median Absolute Deviation (MAD)0
Skewness261.1568515
Sum197909
Variance22926.46106
MonotonicityNot monotonic
2024-03-09T21:18:19.084953image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52457
71.2%
1 7286
 
9.9%
2 3939
 
5.3%
3 2234
 
3.0%
4 1474
 
2.0%
5 1028
 
1.4%
6 730
 
1.0%
7 542
 
0.7%
8 486
 
0.7%
9 365
 
0.5%
Other values (190) 3122
 
4.2%
ValueCountFrequency (%)
0 52457
71.2%
1 7286
 
9.9%
2 3939
 
5.3%
3 2234
 
3.0%
4 1474
 
2.0%
ValueCountFrequency (%)
40540 1
< 0.1%
5392 1
< 0.1%
1067 1
< 0.1%
909 1
< 0.1%
894 1
< 0.1%

V726
Real number (ℝ)

SKEWED  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04149980316
Minimum0
Maximum1726
Zeros73282
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:19.372200image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1726
Range1726
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.410593518
Coefficient of variation (CV)154.4728657
Kurtosis71341.75143
Mean0.04149980316
Median Absolute Deviation (MAD)0
Skewness265.2450694
Sum3057
Variance41.09570925
MonotonicityNot monotonic
2024-03-09T21:18:19.653320image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 73282
99.5%
1 228
 
0.3%
2 52
 
0.1%
4 23
 
< 0.1%
3 22
 
< 0.1%
5 13
 
< 0.1%
7 7
 
< 0.1%
9 6
 
< 0.1%
6 6
 
< 0.1%
8 4
 
< 0.1%
Other values (14) 20
 
< 0.1%
ValueCountFrequency (%)
0 73282
99.5%
1 228
 
0.3%
2 52
 
0.1%
3 22
 
< 0.1%
4 23
 
< 0.1%
ValueCountFrequency (%)
1726 1
< 0.1%
167 1
< 0.1%
87 1
< 0.1%
60 1
< 0.1%
38 1
< 0.1%

V727
Real number (ℝ)

SKEWED  ZEROS 

Distinct41
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1053717606
Minimum0
Maximum2349
Zeros72129
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:19.951640image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2349
Range2349
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.735875667
Coefficient of variation (CV)82.90528334
Kurtosis70960.07815
Mean0.1053717606
Median Absolute Deviation (MAD)0
Skewness264.0577548
Sum7762
Variance76.31552367
MonotonicityNot monotonic
2024-03-09T21:18:20.230247image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 72129
97.9%
1 693
 
0.9%
2 309
 
0.4%
3 149
 
0.2%
4 89
 
0.1%
5 80
 
0.1%
6 49
 
0.1%
7 38
 
0.1%
8 23
 
< 0.1%
10 16
 
< 0.1%
Other values (31) 88
 
0.1%
ValueCountFrequency (%)
0 72129
97.9%
1 693
 
0.9%
2 309
 
0.4%
3 149
 
0.2%
4 89
 
0.1%
ValueCountFrequency (%)
2349 1
< 0.1%
144 1
< 0.1%
126 1
< 0.1%
84 1
< 0.1%
81 1
< 0.1%

V728
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01122680314
Minimum0
Maximum15
Zeros73062
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:20.463295image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1697955908
Coefficient of variation (CV)15.12412649
Kurtosis2115.763976
Mean0.01122680314
Median Absolute Deviation (MAD)0
Skewness36.22244243
Sum827
Variance0.02883054267
MonotonicityNot monotonic
2024-03-09T21:18:20.723653image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 73062
99.2%
1 504
 
0.7%
2 55
 
0.1%
3 15
 
< 0.1%
4 11
 
< 0.1%
5 5
 
< 0.1%
8 4
 
< 0.1%
6 2
 
< 0.1%
13 1
 
< 0.1%
15 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 73062
99.2%
1 504
 
0.7%
2 55
 
0.1%
3 15
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
13 1
 
< 0.1%
11 1
 
< 0.1%
9 1
 
< 0.1%
8 4
< 0.1%

V729
Real number (ℝ)

SKEWED  ZEROS 

Distinct91
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3396141889
Minimum0
Maximum299
Zeros69542
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:21.054092image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum299
Range299
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.452692248
Coefficient of variation (CV)10.16651353
Kurtosis2016.722031
Mean0.3396141889
Median Absolute Deviation (MAD)0
Skewness34.55167382
Sum25017
Variance11.92108376
MonotonicityNot monotonic
2024-03-09T21:18:21.401482image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69542
94.4%
1 1596
 
2.2%
2 700
 
1.0%
3 349
 
0.5%
4 224
 
0.3%
5 178
 
0.2%
6 169
 
0.2%
7 109
 
0.1%
8 93
 
0.1%
10 71
 
0.1%
Other values (81) 632
 
0.9%
ValueCountFrequency (%)
0 69542
94.4%
1 1596
 
2.2%
2 700
 
1.0%
3 349
 
0.5%
4 224
 
0.3%
ValueCountFrequency (%)
299 1
< 0.1%
266 1
< 0.1%
241 1
< 0.1%
188 1
< 0.1%
155 1
< 0.1%

V730
Real number (ℝ)

SKEWED  ZEROS 

Distinct89
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3189932531
Minimum0
Maximum229
Zeros70003
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:21.727646image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum229
Range229
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.336080491
Coefficient of variation (CV)10.45815377
Kurtosis1251.845564
Mean0.3189932531
Median Absolute Deviation (MAD)0
Skewness28.88686212
Sum23498
Variance11.12943304
MonotonicityNot monotonic
2024-03-09T21:18:22.051259image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70003
95.0%
1 1390
 
1.9%
2 587
 
0.8%
3 347
 
0.5%
4 186
 
0.3%
5 166
 
0.2%
6 109
 
0.1%
8 99
 
0.1%
7 92
 
0.1%
10 69
 
0.1%
Other values (79) 615
 
0.8%
ValueCountFrequency (%)
0 70003
95.0%
1 1390
 
1.9%
2 587
 
0.8%
3 347
 
0.5%
4 186
 
0.3%
ValueCountFrequency (%)
229 1
< 0.1%
214 1
< 0.1%
171 1
< 0.1%
168 1
< 0.1%
164 1
< 0.1%

V731
Real number (ℝ)

SKEWED  ZEROS 

Distinct134
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.658607442
Minimum0
Maximum513
Zeros68527
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:22.374560image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum513
Range513
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.671027049
Coefficient of variation (CV)10.12898826
Kurtosis1594.757108
Mean0.658607442
Median Absolute Deviation (MAD)0
Skewness31.50443659
Sum48515
Variance44.50260188
MonotonicityNot monotonic
2024-03-09T21:18:22.691087image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68527
93.0%
1 1807
 
2.5%
2 772
 
1.0%
3 428
 
0.6%
4 249
 
0.3%
5 239
 
0.3%
6 157
 
0.2%
7 132
 
0.2%
8 113
 
0.2%
10 96
 
0.1%
Other values (124) 1143
 
1.6%
ValueCountFrequency (%)
0 68527
93.0%
1 1807
 
2.5%
2 772
 
1.0%
3 428
 
0.6%
4 249
 
0.3%
ValueCountFrequency (%)
513 1
< 0.1%
495 1
< 0.1%
412 1
< 0.1%
326 1
< 0.1%
323 1
< 0.1%

V732
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002267081167
Minimum0
Maximum11
Zeros73562
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:22.953855image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08455270333
Coefficient of variation (CV)37.29584303
Kurtosis7511.602483
Mean0.002267081167
Median Absolute Deviation (MAD)0
Skewness73.20247765
Sum167
Variance0.007149159641
MonotonicityNot monotonic
2024-03-09T21:18:23.192016image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 73562
99.9%
1 72
 
0.1%
2 16
 
< 0.1%
3 5
 
< 0.1%
4 4
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
0 73562
99.9%
1 72
 
0.1%
2 16
 
< 0.1%
3 5
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
10 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
4 4
< 0.1%

V733
Real number (ℝ)

SKEWED  ZEROS 

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02235857893
Minimum0
Maximum132
Zeros73526
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:23.440330image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum132
Range132
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.109322394
Coefficient of variation (CV)49.61506711
Kurtosis6602.279161
Mean0.02235857893
Median Absolute Deviation (MAD)0
Skewness74.4008952
Sum1647
Variance1.230596175
MonotonicityNot monotonic
2024-03-09T21:18:23.744284image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 73526
99.8%
1 62
 
0.1%
2 20
 
< 0.1%
4 5
 
< 0.1%
3 5
 
< 0.1%
18 3
 
< 0.1%
10 3
 
< 0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
21 2
 
< 0.1%
Other values (28) 32
 
< 0.1%
ValueCountFrequency (%)
0 73526
99.8%
1 62
 
0.1%
2 20
 
< 0.1%
3 5
 
< 0.1%
4 5
 
< 0.1%
ValueCountFrequency (%)
132 1
< 0.1%
116 1
< 0.1%
97 1
< 0.1%
78 1
< 0.1%
74 1
< 0.1%

V734
Real number (ℝ)

SKEWED  ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01210920001
Minimum0
Maximum64
Zeros73239
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:23.989434image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum64
Range64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3459348353
Coefficient of variation (CV)28.56793472
Kurtosis17515.07163
Mean0.01210920001
Median Absolute Deviation (MAD)0
Skewness110.7724373
Sum892
Variance0.1196709103
MonotonicityNot monotonic
2024-03-09T21:18:24.239461image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 73239
99.4%
1 270
 
0.4%
2 86
 
0.1%
3 27
 
< 0.1%
4 15
 
< 0.1%
6 7
 
< 0.1%
5 6
 
< 0.1%
7 3
 
< 0.1%
27 2
 
< 0.1%
8 2
 
< 0.1%
Other values (6) 6
 
< 0.1%
ValueCountFrequency (%)
0 73239
99.4%
1 270
 
0.4%
2 86
 
0.1%
3 27
 
< 0.1%
4 15
 
< 0.1%
ValueCountFrequency (%)
64 1
< 0.1%
27 2
< 0.1%
24 1
< 0.1%
21 1
< 0.1%
16 1
< 0.1%

V735
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6792012272
Minimum0
Maximum189
Zeros56782
Zeros (%)77.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:24.530164image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum189
Range189
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.579653926
Coefficient of variation (CV)3.798070178
Kurtosis749.9991511
Mean0.6792012272
Median Absolute Deviation (MAD)0
Skewness18.35610009
Sum50032
Variance6.654614376
MonotonicityNot monotonic
2024-03-09T21:18:24.847217image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56782
77.1%
1 7780
 
10.6%
2 3509
 
4.8%
3 1869
 
2.5%
4 1129
 
1.5%
5 660
 
0.9%
6 453
 
0.6%
7 329
 
0.4%
8 223
 
0.3%
9 181
 
0.2%
Other values (57) 748
 
1.0%
ValueCountFrequency (%)
0 56782
77.1%
1 7780
 
10.6%
2 3509
 
4.8%
3 1869
 
2.5%
4 1129
 
1.5%
ValueCountFrequency (%)
189 1
< 0.1%
122 2
< 0.1%
108 1
< 0.1%
105 1
< 0.1%
92 1
< 0.1%

V736
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7243799465
Minimum0
Maximum166
Zeros56108
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:25.152523image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum166
Range166
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.750967915
Coefficient of variation (CV)3.79768646
Kurtosis647.3521944
Mean0.7243799465
Median Absolute Deviation (MAD)0
Skewness17.93495409
Sum53360
Variance7.567824469
MonotonicityNot monotonic
2024-03-09T21:18:25.459851image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56108
76.2%
1 8073
 
11.0%
2 3682
 
5.0%
3 1825
 
2.5%
4 1114
 
1.5%
5 747
 
1.0%
6 486
 
0.7%
7 343
 
0.5%
8 234
 
0.3%
9 189
 
0.3%
Other values (60) 862
 
1.2%
ValueCountFrequency (%)
0 56108
76.2%
1 8073
 
11.0%
2 3682
 
5.0%
3 1825
 
2.5%
4 1114
 
1.5%
ValueCountFrequency (%)
166 1
< 0.1%
138 1
< 0.1%
132 2
< 0.1%
122 1
< 0.1%
112 1
< 0.1%

V737
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.403581174
Minimum0
Maximum355
Zeros50579
Zeros (%)68.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:25.777167image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum355
Range355
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.134469569
Coefficient of variation (CV)3.658120859
Kurtosis757.7485036
Mean1.403581174
Median Absolute Deviation (MAD)0
Skewness19.06720807
Sum103392
Variance26.36277776
MonotonicityNot monotonic
2024-03-09T21:18:26.088900image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50579
68.7%
1 8146
 
11.1%
2 4467
 
6.1%
3 2619
 
3.6%
4 1779
 
2.4%
5 1232
 
1.7%
6 830
 
1.1%
7 708
 
1.0%
8 535
 
0.7%
9 421
 
0.6%
Other values (98) 2347
 
3.2%
ValueCountFrequency (%)
0 50579
68.7%
1 8146
 
11.1%
2 4467
 
6.1%
3 2619
 
3.6%
4 1779
 
2.4%
ValueCountFrequency (%)
355 1
< 0.1%
260 1
< 0.1%
254 1
< 0.1%
230 1
< 0.1%
224 1
< 0.1%

V738
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004887121078
Minimum0
Maximum14
Zeros73426
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:26.357361image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1234301458
Coefficient of variation (CV)25.25620787
Kurtosis4713.786555
Mean0.004887121078
Median Absolute Deviation (MAD)0
Skewness56.84267102
Sum360
Variance0.0152350009
MonotonicityNot monotonic
2024-03-09T21:18:26.587962image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 73426
99.7%
1 188
 
0.3%
2 25
 
< 0.1%
3 10
 
< 0.1%
4 7
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
7 1
 
< 0.1%
14 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 73426
99.7%
1 188
 
0.3%
2 25
 
< 0.1%
3 10
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
14 1
< 0.1%
12 1
< 0.1%
9 1
< 0.1%
8 2
< 0.1%
7 1
< 0.1%

V739
Real number (ℝ)

SKEWED  ZEROS 

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02739502871
Minimum0
Maximum113
Zeros72956
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:26.858293image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum113
Range113
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8906483887
Coefficient of variation (CV)32.5113143
Kurtosis7922.126212
Mean0.02739502871
Median Absolute Deviation (MAD)0
Skewness81.24075413
Sum2018
Variance0.7932545523
MonotonicityNot monotonic
2024-03-09T21:18:27.137702image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 72956
99.0%
1 484
 
0.7%
2 134
 
0.2%
3 32
 
< 0.1%
4 13
 
< 0.1%
6 4
 
< 0.1%
10 4
 
< 0.1%
24 3
 
< 0.1%
15 3
 
< 0.1%
7 3
 
< 0.1%
Other values (20) 27
 
< 0.1%
ValueCountFrequency (%)
0 72956
99.0%
1 484
 
0.7%
2 134
 
0.2%
3 32
 
< 0.1%
4 13
 
< 0.1%
ValueCountFrequency (%)
113 1
< 0.1%
89 2
< 0.1%
75 1
< 0.1%
64 1
< 0.1%
58 1
< 0.1%

V740
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01999647041
Minimum0
Maximum30
Zeros72641
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:27.382552image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2398476229
Coefficient of variation (CV)11.99449793
Kurtosis4052.063679
Mean0.01999647041
Median Absolute Deviation (MAD)0
Skewness43.88129047
Sum1473
Variance0.05752688223
MonotonicityNot monotonic
2024-03-09T21:18:27.618534image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 72641
98.6%
1 787
 
1.1%
2 153
 
0.2%
3 45
 
0.1%
4 13
 
< 0.1%
5 9
 
< 0.1%
8 5
 
< 0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
10 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 72641
98.6%
1 787
 
1.1%
2 153
 
0.2%
3 45
 
0.1%
4 13
 
< 0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
18 1
 
< 0.1%
12 1
 
< 0.1%
10 1
 
< 0.1%
8 5
< 0.1%

V741
Real number (ℝ)

SKEWED  ZEROS 

Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3853766477
Minimum0
Maximum167
Zeros62091
Zeros (%)84.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:27.888777image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum167
Range167
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.900536185
Coefficient of variation (CV)4.931632979
Kurtosis1638.336581
Mean0.3853766477
Median Absolute Deviation (MAD)0
Skewness27.72336501
Sum28388
Variance3.612037791
MonotonicityNot monotonic
2024-03-09T21:18:28.241846image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62091
84.3%
1 6435
 
8.7%
2 2302
 
3.1%
3 1053
 
1.4%
4 554
 
0.8%
5 350
 
0.5%
6 225
 
0.3%
7 150
 
0.2%
8 87
 
0.1%
9 68
 
0.1%
Other values (48) 348
 
0.5%
ValueCountFrequency (%)
0 62091
84.3%
1 6435
 
8.7%
2 2302
 
3.1%
3 1053
 
1.4%
4 554
 
0.8%
ValueCountFrequency (%)
167 1
< 0.1%
150 1
< 0.1%
96 1
< 0.1%
79 1
< 0.1%
70 1
< 0.1%

V742
Real number (ℝ)

SKEWED  ZEROS 

Distinct64
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4162876885
Minimum0
Maximum180
Zeros61446
Zeros (%)83.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:28.580517image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum180
Range180
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.112819212
Coefficient of variation (CV)5.075382411
Kurtosis1378.978534
Mean0.4162876885
Median Absolute Deviation (MAD)0
Skewness26.80691158
Sum30665
Variance4.464005023
MonotonicityNot monotonic
2024-03-09T21:18:28.906450image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61446
83.4%
1 6791
 
9.2%
2 2430
 
3.3%
3 1134
 
1.5%
4 564
 
0.8%
5 371
 
0.5%
6 222
 
0.3%
7 142
 
0.2%
8 98
 
0.1%
9 76
 
0.1%
Other values (54) 389
 
0.5%
ValueCountFrequency (%)
0 61446
83.4%
1 6791
 
9.2%
2 2430
 
3.3%
3 1134
 
1.5%
4 564
 
0.8%
ValueCountFrequency (%)
180 1
< 0.1%
130 1
< 0.1%
110 1
< 0.1%
103 1
< 0.1%
87 1
< 0.1%

V743
Real number (ℝ)

SKEWED  ZEROS 

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8016643362
Minimum0
Maximum347
Zeros56600
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:29.232811image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum347
Range347
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.86346966
Coefficient of variation (CV)4.819310883
Kurtosis1642.040157
Mean0.8016643362
Median Absolute Deviation (MAD)0
Skewness28.65312104
Sum59053
Variance14.92639782
MonotonicityNot monotonic
2024-03-09T21:18:29.566817image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56600
76.8%
1 7740
 
10.5%
2 3401
 
4.6%
3 1846
 
2.5%
4 1093
 
1.5%
5 694
 
0.9%
6 450
 
0.6%
7 348
 
0.5%
8 259
 
0.4%
9 197
 
0.3%
Other values (85) 1035
 
1.4%
ValueCountFrequency (%)
0 56600
76.8%
1 7740
 
10.5%
2 3401
 
4.6%
3 1846
 
2.5%
4 1093
 
1.5%
ValueCountFrequency (%)
347 1
< 0.1%
280 1
< 0.1%
183 1
< 0.1%
173 1
< 0.1%
170 1
< 0.1%

V744
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002701491929
Minimum0
Maximum25
Zeros73531
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:29.833985image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1150166703
Coefficient of variation (CV)42.57524113
Kurtosis30728.95039
Mean0.002701491929
Median Absolute Deviation (MAD)0
Skewness149.9432918
Sum199
Variance0.01322883445
MonotonicityNot monotonic
2024-03-09T21:18:30.080670image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 73531
99.8%
1 112
 
0.2%
3 8
 
< 0.1%
2 6
 
< 0.1%
4 2
 
< 0.1%
7 1
 
< 0.1%
25 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 73531
99.8%
1 112
 
0.2%
2 6
 
< 0.1%
3 8
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
25 1
< 0.1%
7 1
< 0.1%
6 1
< 0.1%
5 1
< 0.1%
4 2
< 0.1%

V745
Real number (ℝ)

SKEWED  ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0220463462
Minimum0
Maximum102
Zeros73189
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:30.340693image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum102
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8909796937
Coefficient of variation (CV)40.41393915
Kurtosis7696.752908
Mean0.0220463462
Median Absolute Deviation (MAD)0
Skewness81.38938466
Sum1624
Variance0.7938448146
MonotonicityNot monotonic
2024-03-09T21:18:30.642548image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 73189
99.4%
1 364
 
0.5%
2 47
 
0.1%
3 20
 
< 0.1%
4 4
 
< 0.1%
13 2
 
< 0.1%
14 2
 
< 0.1%
6 2
 
< 0.1%
25 2
 
< 0.1%
27 2
 
< 0.1%
Other values (21) 29
 
< 0.1%
ValueCountFrequency (%)
0 73189
99.4%
1 364
 
0.5%
2 47
 
0.1%
3 20
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
102 1
< 0.1%
95 2
< 0.1%
76 1
< 0.1%
71 1
< 0.1%
53 1
< 0.1%

V746
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010575187
Minimum0
Maximum29
Zeros73109
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:30.906727image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1937345673
Coefficient of variation (CV)18.3197297
Kurtosis10731.5732
Mean0.010575187
Median Absolute Deviation (MAD)0
Skewness81.68771502
Sum779
Variance0.03753308258
MonotonicityNot monotonic
2024-03-09T21:18:31.139750image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 73109
99.2%
1 442
 
0.6%
2 74
 
0.1%
3 23
 
< 0.1%
4 6
 
< 0.1%
5 4
 
< 0.1%
9 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
25 1
 
< 0.1%
ValueCountFrequency (%)
0 73109
99.2%
1 442
 
0.6%
2 74
 
0.1%
3 23
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
29 1
< 0.1%
25 1
< 0.1%
9 1
< 0.1%
7 1
< 0.1%
6 1
< 0.1%

V747
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.787668164 × 10-5
Minimum0
Maximum4
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:31.372230image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01519142005
Coefficient of variation (CV)223.8091151
Kurtosis65506.10685
Mean6.787668164 × 10-5
Median Absolute Deviation (MAD)0
Skewness251.6885131
Sum5
Variance0.0002307792433
MonotonicityNot monotonic
2024-03-09T21:18:31.624584image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
1 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
1 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
1 1
 
< 0.1%
0 73661
> 99.9%

V748
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.715067266 × 10-5
Minimum0
Maximum2
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:31.879492image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.007368944654
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean2.715067266 × 10-5
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum2
Variance5.430134532 × 10-5
MonotonicityNot monotonic
2024-03-09T21:18:32.192978image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
2 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
0 73662
> 99.9%

V749
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.50273543 × 10-5
Minimum0
Maximum6
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:32.451237image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02241172088
Coefficient of variation (CV)235.8449421
Kurtosis69788.64009
Mean9.50273543 × 10-5
Median Absolute Deviation (MAD)0
Skewness261.6864849
Sum7
Variance0.0005022852327
MonotonicityNot monotonic
2024-03-09T21:18:32.639138image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
1 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
1 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
1 1
 
< 0.1%
0 73661
> 99.9%

V750
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros73663
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:32.838972image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-09T21:18:33.029237image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%

V751
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros73663
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:33.266125image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-09T21:18:33.611319image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%

V752
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros73663
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:33.856904image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-09T21:18:34.055519image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%

V753
Real number (ℝ)

SKEWED  ZEROS 

Distinct128
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.404259941
Minimum0
Maximum580
Zeros51301
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:34.291819image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum580
Range580
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.614663603
Coefficient of variation (CV)4.710426761
Kurtosis1580.778342
Mean1.404259941
Median Absolute Deviation (MAD)0
Skewness28.60766291
Sum103442
Variance43.75377458
MonotonicityNot monotonic
2024-03-09T21:18:34.572127image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51301
69.6%
1 8642
 
11.7%
2 4315
 
5.9%
3 2461
 
3.3%
4 1560
 
2.1%
5 1080
 
1.5%
6 794
 
1.1%
7 575
 
0.8%
8 443
 
0.6%
9 333
 
0.5%
Other values (118) 2159
 
2.9%
ValueCountFrequency (%)
0 51301
69.6%
1 8642
 
11.7%
2 4315
 
5.9%
3 2461
 
3.3%
4 1560
 
2.1%
ValueCountFrequency (%)
580 1
< 0.1%
444 1
< 0.1%
388 1
< 0.1%
318 1
< 0.1%
284 1
< 0.1%

V754
Real number (ℝ)

SKEWED  ZEROS 

Distinct130
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.459688039
Minimum0
Maximum480
Zeros50603
Zeros (%)68.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:35.657230image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum480
Range480
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.819519898
Coefficient of variation (CV)4.671902295
Kurtosis1214.497081
Mean1.459688039
Median Absolute Deviation (MAD)0
Skewness26.18161628
Sum107525
Variance46.50585164
MonotonicityNot monotonic
2024-03-09T21:18:35.945337image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50603
68.7%
1 8898
 
12.1%
2 4435
 
6.0%
3 2586
 
3.5%
4 1603
 
2.2%
5 1111
 
1.5%
6 804
 
1.1%
7 589
 
0.8%
8 436
 
0.6%
9 333
 
0.5%
Other values (120) 2265
 
3.1%
ValueCountFrequency (%)
0 50603
68.7%
1 8898
 
12.1%
2 4435
 
6.0%
3 2586
 
3.5%
4 1603
 
2.2%
ValueCountFrequency (%)
480 1
< 0.1%
467 1
< 0.1%
374 1
< 0.1%
367 1
< 0.1%
327 1
< 0.1%

V755
Real number (ℝ)

SKEWED  ZEROS 

Distinct202
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.863947979
Minimum0
Maximum1047
Zeros44503
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:36.217845image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile12
Maximum1047
Range1047
Interquartile range (IQR)2

Descriptive statistics

Standard deviation13.19006639
Coefficient of variation (CV)4.605553762
Kurtosis1399.472916
Mean2.863947979
Median Absolute Deviation (MAD)0
Skewness27.61040593
Sum210967
Variance173.9778514
MonotonicityNot monotonic
2024-03-09T21:18:36.659931image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44503
60.4%
1 8624
 
11.7%
2 4973
 
6.8%
3 3141
 
4.3%
4 2210
 
3.0%
5 1691
 
2.3%
6 1232
 
1.7%
7 909
 
1.2%
8 783
 
1.1%
9 619
 
0.8%
Other values (192) 4978
 
6.8%
ValueCountFrequency (%)
0 44503
60.4%
1 8624
 
11.7%
2 4973
 
6.8%
3 3141
 
4.3%
4 2210
 
3.0%
ValueCountFrequency (%)
1047 1
< 0.1%
924 1
< 0.1%
755 1
< 0.1%
655 1
< 0.1%
560 1
< 0.1%

V756
Real number (ℝ)

SKEWED  ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009855694175
Minimum0
Maximum50
Zeros73258
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:36.947110image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2584102911
Coefficient of variation (CV)26.21939019
Kurtosis19634.24167
Mean0.009855694175
Median Absolute Deviation (MAD)0
Skewness112.9656512
Sum726
Variance0.06677587855
MonotonicityNot monotonic
2024-03-09T21:18:37.182201image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 73258
99.5%
1 298
 
0.4%
2 56
 
0.1%
3 17
 
< 0.1%
4 12
 
< 0.1%
5 7
 
< 0.1%
6 4
 
< 0.1%
8 2
 
< 0.1%
14 2
 
< 0.1%
15 1
 
< 0.1%
Other values (6) 6
 
< 0.1%
ValueCountFrequency (%)
0 73258
99.5%
1 298
 
0.4%
2 56
 
0.1%
3 17
 
< 0.1%
4 12
 
< 0.1%
ValueCountFrequency (%)
50 1
< 0.1%
15 1
< 0.1%
14 2
< 0.1%
12 1
< 0.1%
11 1
< 0.1%

V757
Real number (ℝ)

SKEWED  ZEROS 

Distinct49
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07179995384
Minimum0
Maximum340
Zeros72590
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:37.475265image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum340
Range340
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.776540116
Coefficient of variation (CV)38.67050001
Kurtosis7696.001136
Mean0.07179995384
Median Absolute Deviation (MAD)0
Skewness80.28844906
Sum5289
Variance7.709175016
MonotonicityNot monotonic
2024-03-09T21:18:37.825992image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 72590
98.5%
1 701
 
1.0%
2 192
 
0.3%
3 78
 
0.1%
4 24
 
< 0.1%
5 12
 
< 0.1%
6 9
 
< 0.1%
10 4
 
< 0.1%
33 4
 
< 0.1%
7 3
 
< 0.1%
Other values (39) 46
 
0.1%
ValueCountFrequency (%)
0 72590
98.5%
1 701
 
1.0%
2 192
 
0.3%
3 78
 
0.1%
4 24
 
< 0.1%
ValueCountFrequency (%)
340 1
< 0.1%
300 1
< 0.1%
274 1
< 0.1%
234 1
< 0.1%
165 1
< 0.1%

V758
Real number (ℝ)

SKEWED  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04268085742
Minimum0
Maximum74
Zeros71972
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:38.118915image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum74
Range74
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5972047532
Coefficient of variation (CV)13.99233261
Kurtosis7947.390902
Mean0.04268085742
Median Absolute Deviation (MAD)0
Skewness73.51659424
Sum3144
Variance0.3566535172
MonotonicityNot monotonic
2024-03-09T21:18:38.425244image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 71972
97.7%
1 1162
 
1.6%
2 304
 
0.4%
3 92
 
0.1%
4 45
 
0.1%
5 24
 
< 0.1%
6 14
 
< 0.1%
7 12
 
< 0.1%
9 9
 
< 0.1%
8 8
 
< 0.1%
Other values (13) 21
 
< 0.1%
ValueCountFrequency (%)
0 71972
97.7%
1 1162
 
1.6%
2 304
 
0.4%
3 92
 
0.1%
4 45
 
0.1%
ValueCountFrequency (%)
74 1
< 0.1%
71 1
< 0.1%
64 1
< 0.1%
28 1
< 0.1%
27 1
< 0.1%

V759
Real number (ℝ)

SKEWED  ZEROS 

Distinct247
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.486743684
Minimum0
Maximum3345
Zeros64768
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:38.791750image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22
Maximum3345
Range3345
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.23816203
Coefficient of variation (CV)6.66471761
Kurtosis7287.222906
Mean3.486743684
Median Absolute Deviation (MAD)0
Skewness62.03256472
Sum256844
Variance540.0121746
MonotonicityNot monotonic
2024-03-09T21:18:39.245916image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64768
87.9%
1 1155
 
1.6%
2 568
 
0.8%
3 391
 
0.5%
4 285
 
0.4%
5 239
 
0.3%
6 206
 
0.3%
7 198
 
0.3%
18 182
 
0.2%
8 174
 
0.2%
Other values (237) 5497
 
7.5%
ValueCountFrequency (%)
0 64768
87.9%
1 1155
 
1.6%
2 568
 
0.8%
3 391
 
0.5%
4 285
 
0.4%
ValueCountFrequency (%)
3345 1
< 0.1%
2001 1
< 0.1%
1699 1
< 0.1%
1632 1
< 0.1%
515 1
< 0.1%

V760
Real number (ℝ)

SKEWED  ZEROS 

Distinct231
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.552190381
Minimum0
Maximum5557
Zeros64588
Zeros (%)87.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:39.605506image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile23
Maximum5557
Range5557
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.42899724
Coefficient of variation (CV)9.410812389
Kurtosis14672.697
Mean3.552190381
Median Absolute Deviation (MAD)0
Skewness105.2675115
Sum261665
Variance1117.497856
MonotonicityNot monotonic
2024-03-09T21:18:39.952399image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64588
87.7%
1 1186
 
1.6%
2 601
 
0.8%
3 391
 
0.5%
4 328
 
0.4%
5 234
 
0.3%
6 202
 
0.3%
7 190
 
0.3%
8 186
 
0.3%
19 178
 
0.2%
Other values (221) 5579
 
7.6%
ValueCountFrequency (%)
0 64588
87.7%
1 1186
 
1.6%
2 601
 
0.8%
3 391
 
0.5%
4 328
 
0.4%
ValueCountFrequency (%)
5557 1
< 0.1%
3670 1
< 0.1%
3467 1
< 0.1%
2932 1
< 0.1%
589 1
< 0.1%

V761
Real number (ℝ)

SKEWED  ZEROS 

Distinct398
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.038934065
Minimum0
Maximum8902
Zeros63808
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:40.269639image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile45
Maximum8902
Range8902
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.89384771
Coefficient of variation (CV)7.940669311
Kurtosis11734.95057
Mean7.038934065
Median Absolute Deviation (MAD)0
Skewness88.44611499
Sum518509
Variance3124.122211
MonotonicityNot monotonic
2024-03-09T21:18:40.573889image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63808
86.6%
1 1208
 
1.6%
2 627
 
0.9%
3 392
 
0.5%
4 289
 
0.4%
5 207
 
0.3%
6 169
 
0.2%
9 157
 
0.2%
7 154
 
0.2%
8 145
 
0.2%
Other values (388) 6507
 
8.8%
ValueCountFrequency (%)
0 63808
86.6%
1 1208
 
1.6%
2 627
 
0.9%
3 392
 
0.5%
4 289
 
0.4%
ValueCountFrequency (%)
8902 1
< 0.1%
5671 1
< 0.1%
5166 1
< 0.1%
4564 1
< 0.1%
1059 1
< 0.1%

V762
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.341691215
Minimum0
Maximum999
Zeros63808
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:40.855816image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile40
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48.01489564
Coefficient of variation (CV)6.540032021
Kurtosis382.4305551
Mean7.341691215
Median Absolute Deviation (MAD)0
Skewness18.72729451
Sum540811
Variance2305.430203
MonotonicityNot monotonic
2024-03-09T21:18:41.117590image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63808
86.6%
38 2095
 
2.8%
32 892
 
1.2%
37 887
 
1.2%
40 638
 
0.9%
64 464
 
0.6%
67 435
 
0.6%
65 376
 
0.5%
60 296
 
0.4%
15 294
 
0.4%
Other values (58) 3478
 
4.7%
ValueCountFrequency (%)
0 63808
86.6%
1 96
 
0.1%
2 150
 
0.2%
3 15
 
< 0.1%
4 8
 
< 0.1%
ValueCountFrequency (%)
999 156
 
0.2%
68 163
 
0.2%
67 435
0.6%
66 20
 
< 0.1%
65 376
0.5%

E763
Text

MISSING 

Distinct120
Distinct (%)1.2%
Missing63539
Missing (%)86.3%
Memory size1.1 MiB
2024-03-09T21:18:41.439132image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Length

Max length45
Median length41
Mean length25.94468589
Min length1

Characters and Unicode

Total characters262664
Distinct characters68
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)0.2%

Sample

1st rowHuichol II Familia yuto-nahua
2nd rowHuichol II Familia yuto-nahua
3rd rowHuichol II Familia yuto-nahua
4th rowHuichol II Familia yuto-nahua
5th row0
ValueCountFrequency (%)
familia 9317
23.6%
maya 3377
 
8.5%
oto-mangue 3152
 
8.0%
v 3103
 
7.8%
ii 2850
 
7.2%
yuto-nahua 2850
 
7.2%
vi 2541
 
6.4%
náhuatl 1869
 
4.7%
mixteco 886
 
2.2%
otomí 556
 
1.4%
Other values (122) 9038
22.9%
2024-03-09T21:18:42.012516image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 42963
16.4%
29399
 
11.2%
i 21439
 
8.2%
o 16725
 
6.4%
m 16370
 
6.2%
l 13648
 
5.2%
t 12769
 
4.9%
u 12698
 
4.8%
I 10552
 
4.0%
F 9534
 
3.6%
Other values (58) 76567
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 183737
70.0%
Uppercase Letter 41932
 
16.0%
Space Separator 29416
 
11.2%
Dash Punctuation 6749
 
2.6%
Decimal Number 598
 
0.2%
Other Punctuation 232
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 42963
23.4%
i 21439
11.7%
o 16725
 
9.1%
m 16370
 
8.9%
l 13648
 
7.4%
t 12769
 
6.9%
u 12698
 
6.9%
e 8219
 
4.5%
n 7689
 
4.2%
h 6600
 
3.6%
Other values (19) 24617
13.4%
Uppercase Letter
ValueCountFrequency (%)
I 10552
25.2%
F 9534
22.7%
V 6216
14.8%
M 2857
 
6.8%
T 2693
 
6.4%
N 2304
 
5.5%
A 1618
 
3.9%
O 1225
 
2.9%
C 1006
 
2.4%
H 844
 
2.0%
Other values (15) 3083
 
7.4%
Decimal Number
ValueCountFrequency (%)
0 367
61.4%
3 70
 
11.7%
8 57
 
9.5%
4 42
 
7.0%
2 36
 
6.0%
1 11
 
1.8%
7 8
 
1.3%
6 4
 
0.7%
9 2
 
0.3%
5 1
 
0.2%
Space Separator
ValueCountFrequency (%)
29399
99.9%
  17
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 6749
100.0%
Other Punctuation
ValueCountFrequency (%)
' 232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 225669
85.9%
Common 36995
 
14.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 42963
19.0%
i 21439
 
9.5%
o 16725
 
7.4%
m 16370
 
7.3%
l 13648
 
6.0%
t 12769
 
5.7%
u 12698
 
5.6%
I 10552
 
4.7%
F 9534
 
4.2%
e 8219
 
3.6%
Other values (44) 60752
26.9%
Common
ValueCountFrequency (%)
29399
79.5%
- 6749
 
18.2%
0 367
 
1.0%
' 232
 
0.6%
3 70
 
0.2%
8 57
 
0.2%
4 42
 
0.1%
2 36
 
0.1%
  17
 
< 0.1%
1 11
 
< 0.1%
Other values (4) 15
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 260099
99.0%
None 2565
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 42963
16.5%
29399
 
11.3%
i 21439
 
8.2%
o 16725
 
6.4%
m 16370
 
6.3%
l 13648
 
5.2%
t 12769
 
4.9%
u 12698
 
4.9%
I 10552
 
4.1%
F 9534
 
3.7%
Other values (52) 74002
28.5%
None
ValueCountFrequency (%)
á 1904
74.2%
í 631
 
24.6%
  17
 
0.7%
Á 7
 
0.3%
ó 5
 
0.2%
ñ 1
 
< 0.1%

V764
Real number (ℝ)

SKEWED  ZEROS 

Distinct387
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.443709868
Minimum0
Maximum3315
Zeros63808
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:42.340347image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile42
Maximum3315
Range3315
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.31612614
Coefficient of variation (CV)5.32552316
Kurtosis1605.637833
Mean6.443709868
Median Absolute Deviation (MAD)0
Skewness24.74087531
Sum474663
Variance1177.596513
MonotonicityNot monotonic
2024-03-09T21:18:42.612768image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63808
86.6%
1 1558
 
2.1%
2 633
 
0.9%
3 370
 
0.5%
4 289
 
0.4%
5 197
 
0.3%
6 163
 
0.2%
7 145
 
0.2%
8 131
 
0.2%
9 128
 
0.2%
Other values (377) 6241
 
8.5%
ValueCountFrequency (%)
0 63808
86.6%
1 1558
 
2.1%
2 633
 
0.9%
3 370
 
0.5%
4 289
 
0.4%
ValueCountFrequency (%)
3315 1
< 0.1%
1961 1
< 0.1%
1890 1
< 0.1%
1722 1
< 0.1%
1049 1
< 0.1%

V765
Real number (ℝ)

SKEWED  ZEROS 

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.185384793
Minimum0
Maximum999
Zeros71963
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:43.041721image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.35742739
Coefficient of variation (CV)14.64286322
Kurtosis2815.511388
Mean1.185384793
Median Absolute Deviation (MAD)0
Skewness49.43619235
Sum87319
Variance301.2802854
MonotonicityNot monotonic
2024-03-09T21:18:43.472292image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71963
97.7%
38 272
 
0.4%
37 181
 
0.2%
40 109
 
0.1%
67 98
 
0.1%
64 96
 
0.1%
63 92
 
0.1%
36 68
 
0.1%
17 59
 
0.1%
19 54
 
0.1%
Other values (53) 671
 
0.9%
ValueCountFrequency (%)
0 71963
97.7%
1 9
 
< 0.1%
2 17
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
999 19
 
< 0.1%
68 29
 
< 0.1%
67 98
0.1%
66 2
 
< 0.1%
65 50
0.1%

E766
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71617
Missing (%)97.2%
Memory size1.1 MiB

V767
Real number (ℝ)

SKEWED  ZEROS 

Distinct113
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4045721733
Minimum0
Maximum2964
Zeros71963
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:43.738973image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2964
Range2964
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.00821487
Coefficient of variation (CV)39.56825489
Kurtosis21461.34156
Mean0.4045721733
Median Absolute Deviation (MAD)0
Skewness137.1159858
Sum29802
Variance256.2629434
MonotonicityNot monotonic
2024-03-09T21:18:44.006186image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71963
97.7%
1 564
 
0.8%
2 217
 
0.3%
3 124
 
0.2%
4 90
 
0.1%
5 71
 
0.1%
6 58
 
0.1%
8 36
 
< 0.1%
7 34
 
< 0.1%
10 34
 
< 0.1%
Other values (103) 472
 
0.6%
ValueCountFrequency (%)
0 71963
97.7%
1 564
 
0.8%
2 217
 
0.3%
3 124
 
0.2%
4 90
 
0.1%
ValueCountFrequency (%)
2964 1
< 0.1%
1890 1
< 0.1%
1722 1
< 0.1%
1505 1
< 0.1%
326 1
< 0.1%

V768
Real number (ℝ)

SKEWED  ZEROS 

Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.534854676
Minimum0
Maximum999
Zeros73031
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:44.304062image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum999
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.93466968
Coefficient of variation (CV)26.05318848
Kurtosis4650.958712
Mean0.534854676
Median Absolute Deviation (MAD)0
Skewness65.2921839
Sum39399
Variance194.1750191
MonotonicityNot monotonic
2024-03-09T21:18:44.585160image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73031
99.1%
38 79
 
0.1%
63 78
 
0.1%
37 71
 
0.1%
67 39
 
0.1%
40 33
 
< 0.1%
36 28
 
< 0.1%
68 18
 
< 0.1%
65 18
 
< 0.1%
60 17
 
< 0.1%
Other values (48) 251
 
0.3%
ValueCountFrequency (%)
0 73031
99.1%
1 8
 
< 0.1%
2 5
 
< 0.1%
5 4
 
< 0.1%
6 7
 
< 0.1%
ValueCountFrequency (%)
999 13
 
< 0.1%
68 18
< 0.1%
67 39
0.1%
66 5
 
< 0.1%
65 18
< 0.1%

E769
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72670
Missing (%)98.7%
Memory size1.1 MiB

V770
Real number (ℝ)

SKEWED  ZEROS 

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1906520234
Minimum0
Maximum2623
Zeros73031
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:44.841142image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2623
Range2623
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.45514497
Coefficient of variation (CV)75.81952037
Kurtosis21891.19933
Mean0.1906520234
Median Absolute Deviation (MAD)0
Skewness141.2625929
Sum14044
Variance208.9512161
MonotonicityNot monotonic
2024-03-09T21:18:45.124107image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73031
99.1%
1 231
 
0.3%
2 97
 
0.1%
3 65
 
0.1%
4 37
 
0.1%
5 36
 
< 0.1%
7 17
 
< 0.1%
6 13
 
< 0.1%
10 9
 
< 0.1%
11 8
 
< 0.1%
Other values (59) 119
 
0.2%
ValueCountFrequency (%)
0 73031
99.1%
1 231
 
0.3%
2 97
 
0.1%
3 65
 
0.1%
4 37
 
0.1%
ValueCountFrequency (%)
2623 1
< 0.1%
1891 1
< 0.1%
1722 1
< 0.1%
1098 1
< 0.1%
426 1
< 0.1%

V771
Real number (ℝ)

SKEWED  ZEROS 

Distinct91
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.898890895
Minimum0
Maximum311
Zeros55241
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:18:45.389007image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum311
Range311
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.217133657
Coefficient of variation (CV)4.691485563
Kurtosis1658.936833
Mean0.898890895
Median Absolute Deviation (MAD)0
Skewness30.9916776
Sum66215
Variance17.78421628
MonotonicityNot monotonic
2024-03-09T21:18:45.663759image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55241
75.0%
1 7797
 
10.6%
2 3719
 
5.0%
3 2008
 
2.7%
4 1286
 
1.7%
5 855
 
1.2%
6 565
 
0.8%
7 437
 
0.6%
8 313
 
0.4%
9 239
 
0.3%
Other values (81) 1203
 
1.6%
ValueCountFrequency (%)
0 55241
75.0%
1 7797
 
10.6%
2 3719
 
5.0%
3 2008
 
2.7%
4 1286
 
1.7%
ValueCountFrequency (%)
311 1
< 0.1%
299 1
< 0.1%
296 1
< 0.1%
237 1
< 0.1%
210 1
< 0.1%